Big Data Engineer United Kingdom | Remote | Work from Home Why you? Are you a UK or European based Big Data Engineer or Developer who can provide consulting services to Pythian clients including planning, designing and implementing new solutions using the latest Big Data technologies? Do you want to work remotely to implement and help develop a cutting edge Big Data solutions, create data pipelines which will migrate data from customers on-prem systems and load it into a cloud hosted Enterprise Data Platforms? Do you want to work on large scale custom Big Data consulting projects? If you have a passion for big data and solving complex problems then this could be the job for you! What will you be doing?
Working with the Data Architects to implement data pipelines
Working with our Big Data Principal Architects in the development both proof of concepts and complete implementations.
Working on complex and varied Big Data projects including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets.
Translating complex functional and technical requirements into detailed designs.
Writing high-performance, reliable and maintainable code.
Performing data processing requirements analysis.
Performance tuning for batch and real-time data processing.
Securing components of clients’ Big Data platforms.
Diagnostics and troubleshooting of operational issues.
Health-checks and configuration reviews.
Data pipelines development – ingestion, transformation, cleansing.
Data flow integration with external systems.
Integration with data access tools and products.
Assisting application developers and advising on efficient data access and manipulations.
Defining and implementing efficient operational processes
Dogfooding our product is important, so a short (~3 month) on call rotation with second level support is required for all team members. This works out to needing to be on call less than once a year and ensures quality of implementations.
What do we need from you?
While we realise you might not have everything on the list to be the successful candidate for the Big Data Developer job you will likely have at least 5 years experience in similar roles. The position requires specialized knowledge and experience in performing the following:
Experience building data pipelines in any public cloud (GCP Dataflow, Glue, Azure DataFactory) or any equivalent
Experience writing ETL (Any popular tools)
Experience in data modeling, data design and persistence (e.g. warehousing, data marts, data lakes).
Strong Knowledge of Big Data architectures and distributed data processing frameworks: Hadoop, Spark, Kafka, Hive
Experience and working knowledge of various development platforms, frameworks and languages such as Java, Python, Scala and SQL
Experience with Apache Airflow, Oozie and Nifi would be great
General knowledge of modern data-center and cloud infrastructure including server hardware, networking and storage.
Strong written and verbal English communication skills
Nice-to-haves
Experience with BI platforms, reporting tools, data visualization products, ETL engines.
Experience with data streaming frameworks.
DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc)
Experience with Hbase.
Experience in data management best practices, real-time and batch data integration, and data rationalization
What do you get in return?
Competitive total rewards package
Flexible work environment: Why commute? Work remotely from your home, there’s no daily travel requirement to an office!
Outstanding people: Collaborate with the industry’s top minds.
Substantial training allowance: Hone your skills or learn new ones; participate in professional development days, attend conferences, become certified, whatever you like!
Amazing time off: Start with a minimum 3 weeks vacation, 7 sick days, and 2 professional development days!
Office Allowance: A device of your choosing and personalise your work environment!
Fun, fun, fun: Blog during work hours; take a day off and volunteer for your favorite charity.
Why Pythian? Established in 1997, Pythian is a global IT Data company based in Ottawa, Canada that specializes in designing, implementing, and managing systems that directly contribute to revenue and business success. We help companies adopt disruptive technologies such as advanced analytics, big data, cloud, databases, DevOps and infrastructure management to advance innovation and increase agility. We are focusing on product development leveraging new and exciting technology that will empower our customers through digital transformation. Pythian is seeking a Big Data developer who will be a technical contributor to Pythian's Big Data consulting team. More than just a job we hire people who love what they do! Intrigued to see what a job is like at Pythian or check us out @Pythian and #pythianlife . Follow @PythianJobs on Twitter and @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open in Brazil and around the world! Pythian Careers Disclaimers
Pythian is an equal opportunity employer and welcomes applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
The successful applicant will need to fulfill the requirements necessary to obtain a background check.
All applicants must be legally authorized to work in the UK or EU permanently– Pythian will not sponsor, or file petitions of any kind on behalf of, a foreign worker to become a UK or EU permanent resident based on a permanent job offer, or to otherwise obtain authorization to work in the EU.
No Recruitment agencies please
15/06/2019
Full time
Big Data Engineer United Kingdom | Remote | Work from Home Why you? Are you a UK or European based Big Data Engineer or Developer who can provide consulting services to Pythian clients including planning, designing and implementing new solutions using the latest Big Data technologies? Do you want to work remotely to implement and help develop a cutting edge Big Data solutions, create data pipelines which will migrate data from customers on-prem systems and load it into a cloud hosted Enterprise Data Platforms? Do you want to work on large scale custom Big Data consulting projects? If you have a passion for big data and solving complex problems then this could be the job for you! What will you be doing?
Working with the Data Architects to implement data pipelines
Working with our Big Data Principal Architects in the development both proof of concepts and complete implementations.
Working on complex and varied Big Data projects including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets.
Translating complex functional and technical requirements into detailed designs.
Writing high-performance, reliable and maintainable code.
Performing data processing requirements analysis.
Performance tuning for batch and real-time data processing.
Securing components of clients’ Big Data platforms.
Diagnostics and troubleshooting of operational issues.
Health-checks and configuration reviews.
Data pipelines development – ingestion, transformation, cleansing.
Data flow integration with external systems.
Integration with data access tools and products.
Assisting application developers and advising on efficient data access and manipulations.
Defining and implementing efficient operational processes
Dogfooding our product is important, so a short (~3 month) on call rotation with second level support is required for all team members. This works out to needing to be on call less than once a year and ensures quality of implementations.
What do we need from you?
While we realise you might not have everything on the list to be the successful candidate for the Big Data Developer job you will likely have at least 5 years experience in similar roles. The position requires specialized knowledge and experience in performing the following:
Experience building data pipelines in any public cloud (GCP Dataflow, Glue, Azure DataFactory) or any equivalent
Experience writing ETL (Any popular tools)
Experience in data modeling, data design and persistence (e.g. warehousing, data marts, data lakes).
Strong Knowledge of Big Data architectures and distributed data processing frameworks: Hadoop, Spark, Kafka, Hive
Experience and working knowledge of various development platforms, frameworks and languages such as Java, Python, Scala and SQL
Experience with Apache Airflow, Oozie and Nifi would be great
General knowledge of modern data-center and cloud infrastructure including server hardware, networking and storage.
Strong written and verbal English communication skills
Nice-to-haves
Experience with BI platforms, reporting tools, data visualization products, ETL engines.
Experience with data streaming frameworks.
DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc)
Experience with Hbase.
Experience in data management best practices, real-time and batch data integration, and data rationalization
What do you get in return?
Competitive total rewards package
Flexible work environment: Why commute? Work remotely from your home, there’s no daily travel requirement to an office!
Outstanding people: Collaborate with the industry’s top minds.
Substantial training allowance: Hone your skills or learn new ones; participate in professional development days, attend conferences, become certified, whatever you like!
Amazing time off: Start with a minimum 3 weeks vacation, 7 sick days, and 2 professional development days!
Office Allowance: A device of your choosing and personalise your work environment!
Fun, fun, fun: Blog during work hours; take a day off and volunteer for your favorite charity.
Why Pythian? Established in 1997, Pythian is a global IT Data company based in Ottawa, Canada that specializes in designing, implementing, and managing systems that directly contribute to revenue and business success. We help companies adopt disruptive technologies such as advanced analytics, big data, cloud, databases, DevOps and infrastructure management to advance innovation and increase agility. We are focusing on product development leveraging new and exciting technology that will empower our customers through digital transformation. Pythian is seeking a Big Data developer who will be a technical contributor to Pythian's Big Data consulting team. More than just a job we hire people who love what they do! Intrigued to see what a job is like at Pythian or check us out @Pythian and #pythianlife . Follow @PythianJobs on Twitter and @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open in Brazil and around the world! Pythian Careers Disclaimers
Pythian is an equal opportunity employer and welcomes applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
The successful applicant will need to fulfill the requirements necessary to obtain a background check.
All applicants must be legally authorized to work in the UK or EU permanently– Pythian will not sponsor, or file petitions of any kind on behalf of, a foreign worker to become a UK or EU permanent resident based on a permanent job offer, or to otherwise obtain authorization to work in the EU.
No Recruitment agencies please
We are recruiting for a Data Analyst to prepare accurate reporting packs for customers and the GSCS team in a timely and professional manner.
Typical Tasks & Activities:
Ensuring sales data is robust and reconciles back to customer accounts
Production of customer reports on a daily, weekly and monthly basis ensuring that the reports are accurate, timely and professionally presented
Production of in-depth customer specific KPIs
Development of reports for new customers
Production of ad hoc reports requested by customers and GSCS team
Collate and complete Supplier Questionnaires
Ad hoc duties as required
Skills & Experience:
Essential:
Good experience of data manipulation and analysis
Sound working knowledge of Microsoft Office products, including proficient use of Excel
Ability to communicate at all levels
Ability to build strong relationships with the GSCS team to bridge the gap between the office based and field based members of the team
Desirable:
Experience of working with a reporting toolkit e.g. Power BI
SQL script writing experience
Understanding and presenting statistics
Please see job description for full details
03/06/2019
Full time
We are recruiting for a Data Analyst to prepare accurate reporting packs for customers and the GSCS team in a timely and professional manner.
Typical Tasks & Activities:
Ensuring sales data is robust and reconciles back to customer accounts
Production of customer reports on a daily, weekly and monthly basis ensuring that the reports are accurate, timely and professionally presented
Production of in-depth customer specific KPIs
Development of reports for new customers
Production of ad hoc reports requested by customers and GSCS team
Collate and complete Supplier Questionnaires
Ad hoc duties as required
Skills & Experience:
Essential:
Good experience of data manipulation and analysis
Sound working knowledge of Microsoft Office products, including proficient use of Excel
Ability to communicate at all levels
Ability to build strong relationships with the GSCS team to bridge the gap between the office based and field based members of the team
Desirable:
Experience of working with a reporting toolkit e.g. Power BI
SQL script writing experience
Understanding and presenting statistics
Please see job description for full details
Sartorius develop automated laboratory systems which integrate novel hardware and software solutions with electronics, sensor technology and single use consumables to provide easy-to-use platforms for development scientists within the modern life sciences industry. Sartorius is looking for a capable Data Scientist to contribute to development projects and shape how we process and analyse multivariate data. Key job accountabilities will include :
Formatting data (and automating the formatting of data) from a broad range of sources for analysis.
Working with multi-discipline engineering teams to analyse experimental data, present conclusions and shape the development of software and hardware systems.
Working with software development teams to encode data formatting and data analysis algorithms into finished products.
Multivariate Data Analysis – likely with SIMCA.
Evaluation of spectroscopy data.
Assisting with troubleshooting customer issues relating software data processing.
This role will be based in Royston, Cambridge UK supporting the development teams located there but may require occasional travel to customers and other development groups within the worldwide Sartorius organisation. Qualifications : PhD/ EngD, MSc, or Degree level qualification plus equivalent experience in relevant field of study, e.g. Physics, Chemistry, Engineering, Biochemical Engineering, Mathematics. Experience :
General Programming skills and data manipulation (e.g. Python, C#, C++)
Mathematical statistical scripting (e.g. R or Matlab)
Multivariate Data Analysis (e.g. SIMCA, PLS Toolbox, Unscrambler)
Mathematical / Statistical data evaluation methods and algorithms
Spectroscopy data evaluation (ideally Raman and NIR)
Key job skills Essential :
Rapid software prototyping / scripting.
Multivariate data analysis.
Mathematical / Statistical data evaluation.
Desirable :
Spectroscopy data evaluation.
Cell culture experience.
Engineering Product Development Lifecycle.
Software Development Process.
Experimental design, including Design Of Experiments approaches.
In order to commence working with us, the successful candidate will need the right to work in the UK.
15/05/2019
Full time
Sartorius develop automated laboratory systems which integrate novel hardware and software solutions with electronics, sensor technology and single use consumables to provide easy-to-use platforms for development scientists within the modern life sciences industry. Sartorius is looking for a capable Data Scientist to contribute to development projects and shape how we process and analyse multivariate data. Key job accountabilities will include :
Formatting data (and automating the formatting of data) from a broad range of sources for analysis.
Working with multi-discipline engineering teams to analyse experimental data, present conclusions and shape the development of software and hardware systems.
Working with software development teams to encode data formatting and data analysis algorithms into finished products.
Multivariate Data Analysis – likely with SIMCA.
Evaluation of spectroscopy data.
Assisting with troubleshooting customer issues relating software data processing.
This role will be based in Royston, Cambridge UK supporting the development teams located there but may require occasional travel to customers and other development groups within the worldwide Sartorius organisation. Qualifications : PhD/ EngD, MSc, or Degree level qualification plus equivalent experience in relevant field of study, e.g. Physics, Chemistry, Engineering, Biochemical Engineering, Mathematics. Experience :
General Programming skills and data manipulation (e.g. Python, C#, C++)
Mathematical statistical scripting (e.g. R or Matlab)
Multivariate Data Analysis (e.g. SIMCA, PLS Toolbox, Unscrambler)
Mathematical / Statistical data evaluation methods and algorithms
Spectroscopy data evaluation (ideally Raman and NIR)
Key job skills Essential :
Rapid software prototyping / scripting.
Multivariate data analysis.
Mathematical / Statistical data evaluation.
Desirable :
Spectroscopy data evaluation.
Cell culture experience.
Engineering Product Development Lifecycle.
Software Development Process.
Experimental design, including Design Of Experiments approaches.
In order to commence working with us, the successful candidate will need the right to work in the UK.
QUALIFICATIONS
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
12/05/2019
Full time
QUALIFICATIONS
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms;
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
10/05/2019
Full time
Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms;
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
We are looking for two talented analysts who are looking to take their career to the next level in a collaborative, driven and fun working environment. If you have a passion for deriving insight from data, then this is the role for you! In role, you’ll be helping to support and deliver analysis and insight into the performance of mobile and cable collection activity and to help develop and design strategies to support the business in optimising the collection function. We’re looking for a real team player who is capable of contributing effectively, positively and adding value to the team dynamic and skills whilst being a good source of business and technical knowledge for your manager, team and stakeholders at all levels.
Principle responsibilities
To effectively analyse collections using analytical tools such as SAS or SQL by interrogating data systems in a logical and structured way. Identifying key trends and business opportunities and presenting results and new strategic changes to key stakeholders.
To present effective presentations to senior managers with formal strategy proposals, highlighting key benefits to the business (OPEX saves, collections performance improvements, bad debt savings) and doing so in a clear and concise manner.
Development and implementation of collection strategies, which improve non-pay performance and improve customer experience.
To support, develop and promote the CSI team with knowledge, skills and ideas, always striving for improvement.
Develop successful and purposeful working relationships with key stakeholders both internal and external (Head of Collections, Strategy Managers, external suppliers)
To work closely with the Collections Department providing insightful analysis in a timely manner, looking at agent performance, dialler effectiveness.
Improve customer segmentation and communication strategies in line with customer behaviour highlighting gaps, opportunities, successes and improvements
To produce management information, manage ad hoc requests and resolution of management queries relating to operational performance and reporting.
Skills and competencies required
Advanced analytical skills
Use of SQL, SAS and/or other software and tools in performing analysis
Excellent technical and innovation skills with good business/marketing understanding to exploit them
You’ll be a strong communicator, with a great ability to develop strong relationships with colleagues and other departments
Intimately familiar with a broad range of analytical approaches, and research techniques and tools to generate data-derived insight
Required critical behaviours
Analytically minded with can do approach
Enjoys a challenge always looking for continual improvement
Ability to effectively communicate with stakeholders at all levels
Ability to plan and organise own workload and work on own initiative
Customer Focused
Communicative and Influential
Team Player living the Virgin values
Creative, Flexible and innovative
Consistently working to a high standard
We’re a great place to work – and we offer impressive benefits too! You will get a generous holiday allowance, contributory pension and, of course, discounts across Virgin Media products and Virgin brands!
We are proud to work with Everywoman to champion the advancement of women in business, and through our partnership with Scope to help one million disabled people get into and stay in work by the end of 2020. We strive to build a diverse and sustainable workforce where gender balance and parity are integral features of our workplace, and where disabled candidates and employees can confidently perform to their full potential through our Work with Me adjustment process. If you are thinking about applying for a job with us and have a condition or impairment that could impact your performance we’ll be happy to work with you to explore adjustment options.
We embody the principles of what it is like to be part of the Virgin family. We are a collaborative bunch, and like to be a place where ideas and new ways of working can be forged.
Virgin Media is part of Liberty Global, the world’s biggest cable company. We are delivering the biggest investment in the UK’s digital infrastructure for over a decade. Through four multi-award-winning services - Virgin Fibre, Virgin TV, Virgin Mobile and Virgin Phone - we help people access technology to build connections that really matter.
We are dedicated to nurturing an engaged workforce that represents the diversity of our customers and communities. Read more here .
Our benefits are your reward for being brilliant. They’re pretty darn spectacular. Just like our people. We’ve put together a package to help you love what you do, at work and at play. You will get 25 days holiday and your birthday off each year, we provide a company funded Medical Plan as well as a Pension Plan where we will match every pound you put in, up to 10%. What's more you'll also benefit from discounts across Virgin Media products and Virgin brands and many other perks on top.
You can find out about all benefits in full here .
Come and be a part of something special. Join us!
17/06/2019
Full time
We are looking for two talented analysts who are looking to take their career to the next level in a collaborative, driven and fun working environment. If you have a passion for deriving insight from data, then this is the role for you! In role, you’ll be helping to support and deliver analysis and insight into the performance of mobile and cable collection activity and to help develop and design strategies to support the business in optimising the collection function. We’re looking for a real team player who is capable of contributing effectively, positively and adding value to the team dynamic and skills whilst being a good source of business and technical knowledge for your manager, team and stakeholders at all levels.
Principle responsibilities
To effectively analyse collections using analytical tools such as SAS or SQL by interrogating data systems in a logical and structured way. Identifying key trends and business opportunities and presenting results and new strategic changes to key stakeholders.
To present effective presentations to senior managers with formal strategy proposals, highlighting key benefits to the business (OPEX saves, collections performance improvements, bad debt savings) and doing so in a clear and concise manner.
Development and implementation of collection strategies, which improve non-pay performance and improve customer experience.
To support, develop and promote the CSI team with knowledge, skills and ideas, always striving for improvement.
Develop successful and purposeful working relationships with key stakeholders both internal and external (Head of Collections, Strategy Managers, external suppliers)
To work closely with the Collections Department providing insightful analysis in a timely manner, looking at agent performance, dialler effectiveness.
Improve customer segmentation and communication strategies in line with customer behaviour highlighting gaps, opportunities, successes and improvements
To produce management information, manage ad hoc requests and resolution of management queries relating to operational performance and reporting.
Skills and competencies required
Advanced analytical skills
Use of SQL, SAS and/or other software and tools in performing analysis
Excellent technical and innovation skills with good business/marketing understanding to exploit them
You’ll be a strong communicator, with a great ability to develop strong relationships with colleagues and other departments
Intimately familiar with a broad range of analytical approaches, and research techniques and tools to generate data-derived insight
Required critical behaviours
Analytically minded with can do approach
Enjoys a challenge always looking for continual improvement
Ability to effectively communicate with stakeholders at all levels
Ability to plan and organise own workload and work on own initiative
Customer Focused
Communicative and Influential
Team Player living the Virgin values
Creative, Flexible and innovative
Consistently working to a high standard
We’re a great place to work – and we offer impressive benefits too! You will get a generous holiday allowance, contributory pension and, of course, discounts across Virgin Media products and Virgin brands!
We are proud to work with Everywoman to champion the advancement of women in business, and through our partnership with Scope to help one million disabled people get into and stay in work by the end of 2020. We strive to build a diverse and sustainable workforce where gender balance and parity are integral features of our workplace, and where disabled candidates and employees can confidently perform to their full potential through our Work with Me adjustment process. If you are thinking about applying for a job with us and have a condition or impairment that could impact your performance we’ll be happy to work with you to explore adjustment options.
We embody the principles of what it is like to be part of the Virgin family. We are a collaborative bunch, and like to be a place where ideas and new ways of working can be forged.
Virgin Media is part of Liberty Global, the world’s biggest cable company. We are delivering the biggest investment in the UK’s digital infrastructure for over a decade. Through four multi-award-winning services - Virgin Fibre, Virgin TV, Virgin Mobile and Virgin Phone - we help people access technology to build connections that really matter.
We are dedicated to nurturing an engaged workforce that represents the diversity of our customers and communities. Read more here .
Our benefits are your reward for being brilliant. They’re pretty darn spectacular. Just like our people. We’ve put together a package to help you love what you do, at work and at play. You will get 25 days holiday and your birthday off each year, we provide a company funded Medical Plan as well as a Pension Plan where we will match every pound you put in, up to 10%. What's more you'll also benefit from discounts across Virgin Media products and Virgin brands and many other perks on top.
You can find out about all benefits in full here .
Come and be a part of something special. Join us!
The Staffordshire Commissioner for Police, Fire and Rescue and Crime is seeking to fill a vacancy in the Strategy and Change Team on a temporary basis for a period of 18 months. The role will be based at the Commissioner's Office at Police Headquarters, Weston Road, Stafford.
About the Opportunity
As Programme Performance Analyst, you will carry out performance and reporting activities, driving improved programme performance, ensuring consistency and compliance with good quality reporting standards. Using established techniques to drive accuracy of project costs, monitor performance against schedules, risks and trend performance to provide insight for senior stakeholders to identify trends, you will support delivery of the Police and Crime Plan and Fire & Rescue Plan and enable strategic decision making. This will include the use of control measures and predictive analytics, assurance and quality control of data, information management, financial tracking, risk and issue tracking and general programme and project management support.
This role offer real opportunities to expand your skill set in a rewarding, exciting role. The position attract a salary of £24,759 - £30,195 p.a. working 37 hours per week. Additional benefits include 28 days holiday, flexible working arrangements, free onsite parking and membership of the Local Government pension scheme.
Further details of the key tasks, responsibilities can be found within the role profile.
To apply for this position please complete an application form quoting reference VN47/2019 and email to applicationpack@staffordshire.pnn.police.uk
Please note that applications are welcomed from all suitably qualified/experienced individuals. However prior consideration will be given to applications from individuals who are 'at risk' and employed by Staffordshire Police. If an appointment is made from that at risk group, the post may be withdrawn. In this event, a representative from the People Services team will notify any affected applicants.
Programme Performance Analyst RP [356KB]
Application Form [291KB]
Guidance Notes [197KB]
17/06/2019
Full time
The Staffordshire Commissioner for Police, Fire and Rescue and Crime is seeking to fill a vacancy in the Strategy and Change Team on a temporary basis for a period of 18 months. The role will be based at the Commissioner's Office at Police Headquarters, Weston Road, Stafford.
About the Opportunity
As Programme Performance Analyst, you will carry out performance and reporting activities, driving improved programme performance, ensuring consistency and compliance with good quality reporting standards. Using established techniques to drive accuracy of project costs, monitor performance against schedules, risks and trend performance to provide insight for senior stakeholders to identify trends, you will support delivery of the Police and Crime Plan and Fire & Rescue Plan and enable strategic decision making. This will include the use of control measures and predictive analytics, assurance and quality control of data, information management, financial tracking, risk and issue tracking and general programme and project management support.
This role offer real opportunities to expand your skill set in a rewarding, exciting role. The position attract a salary of £24,759 - £30,195 p.a. working 37 hours per week. Additional benefits include 28 days holiday, flexible working arrangements, free onsite parking and membership of the Local Government pension scheme.
Further details of the key tasks, responsibilities can be found within the role profile.
To apply for this position please complete an application form quoting reference VN47/2019 and email to applicationpack@staffordshire.pnn.police.uk
Please note that applications are welcomed from all suitably qualified/experienced individuals. However prior consideration will be given to applications from individuals who are 'at risk' and employed by Staffordshire Police. If an appointment is made from that at risk group, the post may be withdrawn. In this event, a representative from the People Services team will notify any affected applicants.
Programme Performance Analyst RP [356KB]
Application Form [291KB]
Guidance Notes [197KB]
As a Performance Analyst for Traffic Technology you will join a small friendly team within the IT Directorate. You will manage a team of 2 and be responsible for the calibration and optimisation of Smart Motorways ensuring that they are performing as intended and that customers face as minimal disruption as possible. With a strong analytical background you will be able to identify areas for improvement and review performance in line with targets and be able to report on this. The role will also offer you variety on a day to day basis with a wider focus on customer complaints and investigations in relation to speed setting and technology failures. What you’ll be leading on
Review the performance of Smart Motorways algorithms to ensure speeds are set appropriately
Produce quarterly regional reports on Smart Motorway performance
Be involved and lead Monthly ‘sprint calibration’ focusing on 1 area of the network resulting in a quick turnaround of improvement and customer benefits
Ensuring ramp metering is working effectively Smart Motorways
Customer correspondence
To be successful
Strong numerate background with experience in data analysis and the knowledge/use of modelling tools
Excellent verbal and written communication skills, with the ability to communicate detailed and sometimes complex information across a variety of levels
Ability to identify problems and provide intelligence-based recommendations for solutions
Track record in customer/stakeholder engagement
Desirable – knowledge/understanding of Traffic Technology
A bit about us The Information and Technology Directorate is a growing and vibrant team and there has never been a better time to join us as we go through our transformation programme. We are helping to transform the way Highways England operates by delivering digital, data and technology services from frontline to back office, in a modern and efficient way. Our vision is to develop integrated information and technology that empowers our colleagues and provides real time information to our customers, integration with intelligent vehicle and transport systems as they develop, to improve journey safety and reliability. Want to know more? Take a look at our Performance Analyst role profile for more information. Interviews are planned to take place end of mid/late July 2019. Why you should join us At Highways England we believe in a connected country. We are passionate about creating a culture where colleagues feel connected, included and enjoy greater wellbeing to achieve this. We’re proud that as an organisation we are continually striving to do better and actively encourage and support our colleagues to do the same with their careers.So if you put safety first, take ownership of your work, show passion for what you do, work effectively in a team, and demonstrate integrity in how you do it – then you’ll be a great fit for our organisation And finally We reserve the right to close before the advertised closing date, so we recommend completing your application as soon as possible
17/06/2019
Full time
As a Performance Analyst for Traffic Technology you will join a small friendly team within the IT Directorate. You will manage a team of 2 and be responsible for the calibration and optimisation of Smart Motorways ensuring that they are performing as intended and that customers face as minimal disruption as possible. With a strong analytical background you will be able to identify areas for improvement and review performance in line with targets and be able to report on this. The role will also offer you variety on a day to day basis with a wider focus on customer complaints and investigations in relation to speed setting and technology failures. What you’ll be leading on
Review the performance of Smart Motorways algorithms to ensure speeds are set appropriately
Produce quarterly regional reports on Smart Motorway performance
Be involved and lead Monthly ‘sprint calibration’ focusing on 1 area of the network resulting in a quick turnaround of improvement and customer benefits
Ensuring ramp metering is working effectively Smart Motorways
Customer correspondence
To be successful
Strong numerate background with experience in data analysis and the knowledge/use of modelling tools
Excellent verbal and written communication skills, with the ability to communicate detailed and sometimes complex information across a variety of levels
Ability to identify problems and provide intelligence-based recommendations for solutions
Track record in customer/stakeholder engagement
Desirable – knowledge/understanding of Traffic Technology
A bit about us The Information and Technology Directorate is a growing and vibrant team and there has never been a better time to join us as we go through our transformation programme. We are helping to transform the way Highways England operates by delivering digital, data and technology services from frontline to back office, in a modern and efficient way. Our vision is to develop integrated information and technology that empowers our colleagues and provides real time information to our customers, integration with intelligent vehicle and transport systems as they develop, to improve journey safety and reliability. Want to know more? Take a look at our Performance Analyst role profile for more information. Interviews are planned to take place end of mid/late July 2019. Why you should join us At Highways England we believe in a connected country. We are passionate about creating a culture where colleagues feel connected, included and enjoy greater wellbeing to achieve this. We’re proud that as an organisation we are continually striving to do better and actively encourage and support our colleagues to do the same with their careers.So if you put safety first, take ownership of your work, show passion for what you do, work effectively in a team, and demonstrate integrity in how you do it – then you’ll be a great fit for our organisation And finally We reserve the right to close before the advertised closing date, so we recommend completing your application as soon as possible
Highways England have awarded telent the contract for the operation and management of NRTS2 (National Roads Telecommunication Services), NRTS is the network of communication and control that Highways England uses to monitor and manage England's motorways and major trunk roads, it is a critical component of national infrastructure supporting the country's 4,400 mile strategic road network.
The contract includes a major technology transformation programme in addition to general maintenance and management of the network; The transformation programme comprises of 11 technology projects, including the introduction of new wireless and IP CCTV services, new management systems and the next-generation upgrade of all technology, this will ultimately enable Highways England to prepare for the future and enable safer roads, more efficient delivery and a better road user experience.
Role Profile:
To interpret engineering information and enter it into Asset/Service database to defined service levels. This offers a great opportunity to work within the £500 million contract with Highways England.
Typical Deliverables:
There is a wide range of data that comes in from various sources and you will be tasked with interpreting mainly engineering information, entering it on to our Asset / Service database, in order to define service levels. Extracting and analyzing information from engineering drawings and schematics. To do this successfully you will need to be able to populate system databases with new and changed network information. This will be achieved by redescribing the detail and making the necessary changes. Maintain 100% accuracy of configurated data and its relationships to where it appears within the data information. Carry out alignment checks and reconciliation of configuration data with multiple data sources and the creation, through advanced Excel and Access skills, of readable accurate reporting. Identify and resolve exceptions through liaison and queries with other team members and departments What we are looking for from you: Minimum HNC/HND Above average competency with MS office applications, particularly Excel and Access Competent in the use of cross sheet functions, pivot tables and macros Demonstrable experience in a similar position where a high volume of data is generated from different sources. An engineering or technical background could be beneficial.
Excellent Employee benefits:
telent is committed to ensuring that we offer industry leading career opportunities, salary and benefits packages.
33 days holiday, including public holidays, plus the option to buy or sell five days each year.
Company pension scheme
A range of family friendly policies including childcare vouchers
An employee-funded car leasing scheme
Occupational health support
We reserve the right to close this vacancy once we have received sufficient applications.
telent is an equal opportunities employer and is committed to diversity and inclusion.
17/06/2019
Full time
Highways England have awarded telent the contract for the operation and management of NRTS2 (National Roads Telecommunication Services), NRTS is the network of communication and control that Highways England uses to monitor and manage England's motorways and major trunk roads, it is a critical component of national infrastructure supporting the country's 4,400 mile strategic road network.
The contract includes a major technology transformation programme in addition to general maintenance and management of the network; The transformation programme comprises of 11 technology projects, including the introduction of new wireless and IP CCTV services, new management systems and the next-generation upgrade of all technology, this will ultimately enable Highways England to prepare for the future and enable safer roads, more efficient delivery and a better road user experience.
Role Profile:
To interpret engineering information and enter it into Asset/Service database to defined service levels. This offers a great opportunity to work within the £500 million contract with Highways England.
Typical Deliverables:
There is a wide range of data that comes in from various sources and you will be tasked with interpreting mainly engineering information, entering it on to our Asset / Service database, in order to define service levels. Extracting and analyzing information from engineering drawings and schematics. To do this successfully you will need to be able to populate system databases with new and changed network information. This will be achieved by redescribing the detail and making the necessary changes. Maintain 100% accuracy of configurated data and its relationships to where it appears within the data information. Carry out alignment checks and reconciliation of configuration data with multiple data sources and the creation, through advanced Excel and Access skills, of readable accurate reporting. Identify and resolve exceptions through liaison and queries with other team members and departments What we are looking for from you: Minimum HNC/HND Above average competency with MS office applications, particularly Excel and Access Competent in the use of cross sheet functions, pivot tables and macros Demonstrable experience in a similar position where a high volume of data is generated from different sources. An engineering or technical background could be beneficial.
Excellent Employee benefits:
telent is committed to ensuring that we offer industry leading career opportunities, salary and benefits packages.
33 days holiday, including public holidays, plus the option to buy or sell five days each year.
Company pension scheme
A range of family friendly policies including childcare vouchers
An employee-funded car leasing scheme
Occupational health support
We reserve the right to close this vacancy once we have received sufficient applications.
telent is an equal opportunities employer and is committed to diversity and inclusion.
Pendragon Vehicle Management is seeking to recruit a motivated and highly organized Pricing & Data Analyst, who must be fully able to manage the large amounts of data a contract hire and leasing company require across all 26 manufacturer brands we are prepared to supply to our customer base. The individual must be totally conversant with both our industry leading IT platform as well as external systems so that our pricing is kept up to date and is wholly accurate and competitive. The jobholder will be responsible for loading manufacturer and dealer support terms, new vehicle data and finance rates ensuring our system is fully populated with accurate industry leading information. The successful candidate will also undertake regular pricing reviews to aid our Residual Value and maintenance budget setting by using external data and taking account of market competitive data and information. Ideally candidates will have previous experience of these activities Ideally a candidate will be able to demonstrate prior experience, with the requisite skills however other candidates will be considered with full training and support being provided. All candidates must have strong IT skills, be highly organized, structured and demonstrate the clear ability to work to deadlines in a pressurized environment prioritizing appropriately. Pendragon Vehicle Management is the fleet management and leasing business within Pendragon PLC, itself the largest independent operator of franchised motor dealerships in Europe. Our team members are driven, successful and always looking to improve our business and their own skill sets and experience. Our policy is to recognize and reward hard work and achievements with excellent benefits, incentives, training and career development. If you have the drive to succeed and want to be part of a highly successful team and business please submit your application. Salary – £competitive
17/06/2019
Full time
Pendragon Vehicle Management is seeking to recruit a motivated and highly organized Pricing & Data Analyst, who must be fully able to manage the large amounts of data a contract hire and leasing company require across all 26 manufacturer brands we are prepared to supply to our customer base. The individual must be totally conversant with both our industry leading IT platform as well as external systems so that our pricing is kept up to date and is wholly accurate and competitive. The jobholder will be responsible for loading manufacturer and dealer support terms, new vehicle data and finance rates ensuring our system is fully populated with accurate industry leading information. The successful candidate will also undertake regular pricing reviews to aid our Residual Value and maintenance budget setting by using external data and taking account of market competitive data and information. Ideally candidates will have previous experience of these activities Ideally a candidate will be able to demonstrate prior experience, with the requisite skills however other candidates will be considered with full training and support being provided. All candidates must have strong IT skills, be highly organized, structured and demonstrate the clear ability to work to deadlines in a pressurized environment prioritizing appropriately. Pendragon Vehicle Management is the fleet management and leasing business within Pendragon PLC, itself the largest independent operator of franchised motor dealerships in Europe. Our team members are driven, successful and always looking to improve our business and their own skill sets and experience. Our policy is to recognize and reward hard work and achievements with excellent benefits, incentives, training and career development. If you have the drive to succeed and want to be part of a highly successful team and business please submit your application. Salary – £competitive
About the role
As a Data Transformation Analyst, this role will be part of a team that builds and maintains cost allocation models within Apptio, a market leading, cloud-based cost transparency tool. While this does not require previous “coding” experience or experience with Apptio, the selected candidate should ideally have prior exposure to Business Inteligence (BI) tools, configuring reporting solutions and/or 3rd party product configuration experience.Additionally, the individual will be part of a diverse technology delivery team, contributing to designing solutions, developing cost allocation models, enabling production releases, and post implementation support.
What will you be doing?
Design(20%) - Has responsibility for proposing technical solutions to business problems. Incumbent should have the ability to contribute to design of scalable dimensional models
Development (50%) - Responsible for development/configuration and testing of data models on Apptio
3rd Line of support (20%) – Responsible for troubleshooting production issues; minimize impact to business in case of production issues.
Data analysis(10%) – Responsible for analysing enterprise data sets and integrating them to Apptio data models
What we’re looking for:
Previous experience in Data Transformation & Data Modeling
Demonstrate good communication and stakeholder skills while dealing with various teams
Effective team-working skills, supporting collaboration, knowledge sharing and contributing to a good working environment
Prior development experience with any BI or data visualisation tools such as Business Objects, Tableau or Qlikview
Strong organisational skills and ability to multi-task in a fast-paced environment
Inquisitive and able to assist in problem-solving and/or root cause identification
Ability to gain knowledge from colleagues and train others to grow within the team
Other skills that will help you in the role: (Non –essential)
Prior Apptio exposure in a development capacity – such as model configuration, defining allocation strategies and/or metric calculations
Apptio TBMA certification
Exposure to cost management, finance reporting hierarchies and accounting principles
Experienced in Agile methodologies
Knowledge in DevOps tooling and test automation
Where will you be working?
Barclays Northampton is an operation of vast scale, with a huge influence and impact on the financial services industry and on the lives of millions of British people. Here, we process 18 million transactions worth more than £700 million every day, and make sure that 196 Barclaycard payments every second happen seamlessly. This couldn’t be possible without the collaboration between all our teams – from tech, marketing, functions, and operations – and the global partnerships our Northampton colleagues have. Our environmentally friendly office is within 5 minutes of the local town, easily accessible from the M1, and we run frequent shuttlebuses to and from Northampton train station.Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.
Our Values
Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it.
Our Diversity
We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.
Our Benefits
Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.
17/06/2019
Full time
About the role
As a Data Transformation Analyst, this role will be part of a team that builds and maintains cost allocation models within Apptio, a market leading, cloud-based cost transparency tool. While this does not require previous “coding” experience or experience with Apptio, the selected candidate should ideally have prior exposure to Business Inteligence (BI) tools, configuring reporting solutions and/or 3rd party product configuration experience.Additionally, the individual will be part of a diverse technology delivery team, contributing to designing solutions, developing cost allocation models, enabling production releases, and post implementation support.
What will you be doing?
Design(20%) - Has responsibility for proposing technical solutions to business problems. Incumbent should have the ability to contribute to design of scalable dimensional models
Development (50%) - Responsible for development/configuration and testing of data models on Apptio
3rd Line of support (20%) – Responsible for troubleshooting production issues; minimize impact to business in case of production issues.
Data analysis(10%) – Responsible for analysing enterprise data sets and integrating them to Apptio data models
What we’re looking for:
Previous experience in Data Transformation & Data Modeling
Demonstrate good communication and stakeholder skills while dealing with various teams
Effective team-working skills, supporting collaboration, knowledge sharing and contributing to a good working environment
Prior development experience with any BI or data visualisation tools such as Business Objects, Tableau or Qlikview
Strong organisational skills and ability to multi-task in a fast-paced environment
Inquisitive and able to assist in problem-solving and/or root cause identification
Ability to gain knowledge from colleagues and train others to grow within the team
Other skills that will help you in the role: (Non –essential)
Prior Apptio exposure in a development capacity – such as model configuration, defining allocation strategies and/or metric calculations
Apptio TBMA certification
Exposure to cost management, finance reporting hierarchies and accounting principles
Experienced in Agile methodologies
Knowledge in DevOps tooling and test automation
Where will you be working?
Barclays Northampton is an operation of vast scale, with a huge influence and impact on the financial services industry and on the lives of millions of British people. Here, we process 18 million transactions worth more than £700 million every day, and make sure that 196 Barclaycard payments every second happen seamlessly. This couldn’t be possible without the collaboration between all our teams – from tech, marketing, functions, and operations – and the global partnerships our Northampton colleagues have. Our environmentally friendly office is within 5 minutes of the local town, easily accessible from the M1, and we run frequent shuttlebuses to and from Northampton train station.Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.
Our Values
Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it.
Our Diversity
We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.
Our Benefits
Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.
Nuffield Health is Britain’s largest not-for-profit healthcare organisation. Join us as a Data Analyst in our Shared Services Team and play your part in our success. Our Support Centre in Epsom, Surrey is the hub of our national operation, supplying services in Finance, IT, Procurement, Legal, Marketing and HR to make Nuffield Health the best organisation it can be – for our patients, our members and our people. The opportunity As our Data Analyst you will support our Workday implementation programme by:
A large amount of data cleansing and preparation work to ensure we cut-over with well managed and understood, as clean as possible data sets.
Consolidate the data with best practice methodology within the Purchase to Pay (P2P) workstream.
Work with the business as usual finance & procurement teams and working comfortably independently.
The person To succeed as a Data Analyst, you will need:
Experience of working with large data sets.
Highly proficient in Excel.
Strong communication and organisation skills.
Exposure to procurement data would be beneficial.
The benefits In return, we offer a working environment that will help you grow your skills and experience and get the best out of life. Our modern offices, designed for agile working, are just five minutes from Epsom station and within easy reach of local parking. We have our own onsite gym and discounted café. Other benefits include 25 days’ annual holiday (increasing with service) and private healthcare. Location - This role will be based between our Epsom and Dorking offices. Salary - £38,000-42,000 per annum dependent on experience. Duration – Fixed term contract for 8 months initially, with potential for extension
17/06/2019
Full time
Nuffield Health is Britain’s largest not-for-profit healthcare organisation. Join us as a Data Analyst in our Shared Services Team and play your part in our success. Our Support Centre in Epsom, Surrey is the hub of our national operation, supplying services in Finance, IT, Procurement, Legal, Marketing and HR to make Nuffield Health the best organisation it can be – for our patients, our members and our people. The opportunity As our Data Analyst you will support our Workday implementation programme by:
A large amount of data cleansing and preparation work to ensure we cut-over with well managed and understood, as clean as possible data sets.
Consolidate the data with best practice methodology within the Purchase to Pay (P2P) workstream.
Work with the business as usual finance & procurement teams and working comfortably independently.
The person To succeed as a Data Analyst, you will need:
Experience of working with large data sets.
Highly proficient in Excel.
Strong communication and organisation skills.
Exposure to procurement data would be beneficial.
The benefits In return, we offer a working environment that will help you grow your skills and experience and get the best out of life. Our modern offices, designed for agile working, are just five minutes from Epsom station and within easy reach of local parking. We have our own onsite gym and discounted café. Other benefits include 25 days’ annual holiday (increasing with service) and private healthcare. Location - This role will be based between our Epsom and Dorking offices. Salary - £38,000-42,000 per annum dependent on experience. Duration – Fixed term contract for 8 months initially, with potential for extension
Responsible for managing maintenance and development of IT systems and other technologies used for delivery of Asset Management (AM) services. The AM services being the examination and assessment of railway civil engineering assets. Delivery will utilise both in house and external resources. Responsible for management of project delivery budgets, quality, programme and cost. Responsible for managing inputs from multiple stakeholders and contractors to deliver projects in accordance with Quality Plans and budgets.
The role
Are you technically minded? Analytical? Are you ambitious and hard working? A self-starter? Looking for a new and rewarding challenge? If your answers are yes, then this role could be perfect for you!
This is an exciting opportunity for an individual who is looking to work and develop within a forward thinking and innovative team – becoming part of our Management Information and Systems function, you will have the opportunity to expand your skills and experience within Excel, SQL, Power BI and other reporting software.
The ideal candidate will be an inquisitive individual with an interest in developing their existing skill set and learning new skills. As the Junior Data Analyst, you will have the chance to work in a small team, within a wider Shared Services department, with the opportunity for personal growth in a professional environment. This position has responsibility for maintaining and issuing agreed reports to measure and support business performance in key areas and agreed service levels. Your output will influence key decisions and drive efficiencies across the business.
The purpose of this role is to extract, analyse and deliver Data to the wider business, whilst helping maintain the Shared Service systems used by Amey. The role will form part of a team that produces both regular and ad-hoc data and management information for senior management and other stakeholders. The chosen candidate will be responsible for maintaining and developing the companies Power BI platform – this will involve obtaining, visualising and analysing new data sources, working closely with senior stakeholders to implement changes, improving existing reporting and maintaining row level security.
Task & Accountabilities
Building, running and analysing reports from our core systems
Data collection and visualisation from a variety of in-house systems and third-party sources
Creating, maintaining and distributing dashboards/analytical tools (Excel/Power BI)
Interpreting data, analysing results and utilising statistical techniques to analyse a wide variety of data
Developing predictive analytic techniques
Provide support to the Shared Service Centre and the business by resolving technical issues
Working closely with stakeholders across the business to develop reporting
Involvement in projects and providing supporting data sets to assist with process improvements
What are we looking for?
Essential skills and experience:
Excellent problem-solving skills and attention to detail
Strong organisational skills with ability to take responsibility for own workload
Consistently maintains the same high standard and work quality when working to deadlines
Ability to manage a varied work load and adapt to a changing set of priorities and workload
Excellent communication skills required to make information and solutions relevant and understandable by different audiences
Strong interpersonal skills and ability to build relationships with key stakeholders
Desirable skills and experience:
Prior experience in involvement in improvement projects
Experience with Excel Macros and VBA would be an advantage
Some experience using SQL at a basic level
Ability to troubleshoot issues and errors
Experience using report building tools
Experience of producing/building reports and analysing data
Advanced Excel Skills (pivot tables, VLOOKUP’s and other advanced techniques)
Training can be provided for the right candidate. Opportunities to cross-skill across the different sections of the wider team will also be available.
17/06/2019
Full time
Responsible for managing maintenance and development of IT systems and other technologies used for delivery of Asset Management (AM) services. The AM services being the examination and assessment of railway civil engineering assets. Delivery will utilise both in house and external resources. Responsible for management of project delivery budgets, quality, programme and cost. Responsible for managing inputs from multiple stakeholders and contractors to deliver projects in accordance with Quality Plans and budgets.
The role
Are you technically minded? Analytical? Are you ambitious and hard working? A self-starter? Looking for a new and rewarding challenge? If your answers are yes, then this role could be perfect for you!
This is an exciting opportunity for an individual who is looking to work and develop within a forward thinking and innovative team – becoming part of our Management Information and Systems function, you will have the opportunity to expand your skills and experience within Excel, SQL, Power BI and other reporting software.
The ideal candidate will be an inquisitive individual with an interest in developing their existing skill set and learning new skills. As the Junior Data Analyst, you will have the chance to work in a small team, within a wider Shared Services department, with the opportunity for personal growth in a professional environment. This position has responsibility for maintaining and issuing agreed reports to measure and support business performance in key areas and agreed service levels. Your output will influence key decisions and drive efficiencies across the business.
The purpose of this role is to extract, analyse and deliver Data to the wider business, whilst helping maintain the Shared Service systems used by Amey. The role will form part of a team that produces both regular and ad-hoc data and management information for senior management and other stakeholders. The chosen candidate will be responsible for maintaining and developing the companies Power BI platform – this will involve obtaining, visualising and analysing new data sources, working closely with senior stakeholders to implement changes, improving existing reporting and maintaining row level security.
Task & Accountabilities
Building, running and analysing reports from our core systems
Data collection and visualisation from a variety of in-house systems and third-party sources
Creating, maintaining and distributing dashboards/analytical tools (Excel/Power BI)
Interpreting data, analysing results and utilising statistical techniques to analyse a wide variety of data
Developing predictive analytic techniques
Provide support to the Shared Service Centre and the business by resolving technical issues
Working closely with stakeholders across the business to develop reporting
Involvement in projects and providing supporting data sets to assist with process improvements
What are we looking for?
Essential skills and experience:
Excellent problem-solving skills and attention to detail
Strong organisational skills with ability to take responsibility for own workload
Consistently maintains the same high standard and work quality when working to deadlines
Ability to manage a varied work load and adapt to a changing set of priorities and workload
Excellent communication skills required to make information and solutions relevant and understandable by different audiences
Strong interpersonal skills and ability to build relationships with key stakeholders
Desirable skills and experience:
Prior experience in involvement in improvement projects
Experience with Excel Macros and VBA would be an advantage
Some experience using SQL at a basic level
Ability to troubleshoot issues and errors
Experience using report building tools
Experience of producing/building reports and analysing data
Advanced Excel Skills (pivot tables, VLOOKUP’s and other advanced techniques)
Training can be provided for the right candidate. Opportunities to cross-skill across the different sections of the wider team will also be available.
Our Team
Participate in the preparation and delivery of operational and performance reporting and analytics for a portfolio of operational renewable assets. Handling and uploading data, post processing data and preparing reports, our Analysts provide an important role within Natural Power. We are a forward thinking, collaborative and open team looking to expand its expertise in the department. Duties and Responsibilities include:
Liaise with clients regarding analysis and respective team members providing assistance where needed
Contribute to necessary department financial reporting
Deliver a professional service to clients, presenting findings and support all business development activities
Take an active involvement in Research & Development activities as requested, providing resource to ensure projects are progressed
Work with Innovation & Data department when required to help develop internal products
Responsible for the on-time, on-quality/budget delivery of tasks assigned to you
Involvement in delivery of wider post-construction wind analysis services
Preparation of deliverables using a combination of in-house tools and industry standard software
Work with systems and processes, both company core procedures and department specific procedures
General Duties and Responsibilities:
Health & Safety: All employees are required to adhere to Health & Safety Regulations and ensure best practice is met by both themselves and by their colleagues
Conduct: All employees are required to conduct themselves in a professional manner in accordance with company values, policies and codes of conduct as outlined in the employee handbook
Quality: All employees are expected to work within the systems, processes and procedures outlined within the department and / or company handbooks or software platforms or training manuals
Flexibility: A reasonable degree of flexibility is required from all employees to meet the needs of the role, the department and the wider company
Qualifications and Experience Essential:
HND/HNC in a mathematics, science or engineering background
Strong Statistical or data processing skills
A good command of English with excellent communication and interpersonal skills
Desirable:
Knowledge of Matlab, Python or other programming
Knowledge and understanding of database systems and design (preferably SQL Server)
Experience of working in the renewable energy sector, specifically wind energy assessment and/or SCADA systems
Degree in Mathematics, Engineering or Physics discipline REE/UD
Additional Information
Natural Power is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Natural Power reserves the right to remove this vacancy at any time.
This role can be either based at our Head Office, St John's Town of Dalry or from our Stirling Office, Springkerse Business Park.
17/06/2019
Full time
Our Team
Participate in the preparation and delivery of operational and performance reporting and analytics for a portfolio of operational renewable assets. Handling and uploading data, post processing data and preparing reports, our Analysts provide an important role within Natural Power. We are a forward thinking, collaborative and open team looking to expand its expertise in the department. Duties and Responsibilities include:
Liaise with clients regarding analysis and respective team members providing assistance where needed
Contribute to necessary department financial reporting
Deliver a professional service to clients, presenting findings and support all business development activities
Take an active involvement in Research & Development activities as requested, providing resource to ensure projects are progressed
Work with Innovation & Data department when required to help develop internal products
Responsible for the on-time, on-quality/budget delivery of tasks assigned to you
Involvement in delivery of wider post-construction wind analysis services
Preparation of deliverables using a combination of in-house tools and industry standard software
Work with systems and processes, both company core procedures and department specific procedures
General Duties and Responsibilities:
Health & Safety: All employees are required to adhere to Health & Safety Regulations and ensure best practice is met by both themselves and by their colleagues
Conduct: All employees are required to conduct themselves in a professional manner in accordance with company values, policies and codes of conduct as outlined in the employee handbook
Quality: All employees are expected to work within the systems, processes and procedures outlined within the department and / or company handbooks or software platforms or training manuals
Flexibility: A reasonable degree of flexibility is required from all employees to meet the needs of the role, the department and the wider company
Qualifications and Experience Essential:
HND/HNC in a mathematics, science or engineering background
Strong Statistical or data processing skills
A good command of English with excellent communication and interpersonal skills
Desirable:
Knowledge of Matlab, Python or other programming
Knowledge and understanding of database systems and design (preferably SQL Server)
Experience of working in the renewable energy sector, specifically wind energy assessment and/or SCADA systems
Degree in Mathematics, Engineering or Physics discipline REE/UD
Additional Information
Natural Power is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Natural Power reserves the right to remove this vacancy at any time.
This role can be either based at our Head Office, St John's Town of Dalry or from our Stirling Office, Springkerse Business Park.
In this role you’ll join our data and analysis team to support continuous improvement for a programme which has the potential to impact many people’s lives. You’ll use software packages and processes to assist in the production and analysis of our data, and to provide insights.. These insights will be used to inform improvements and changes we need to make to our design and how we deliver our services.
Citizens Advice offers confidential advice online, over the phone, and in person, for free. Through our national network of charities, we give people the knowledge and the confidence they need to find their way forward – whoever they are, and whatever their problem. In 2017-18 we helped 2.6 million people face to face, over the phone, by email and webchat, and people visited our online advice pages 25 million times. We help with everything from money issues to problems at work, housing to consumer rights. Now we want to do even more.
Citizens Advice are working exclusively with our recruitment partners Prospectus on this position. All applications must be made through the Prospectus website where you can download the job pack, submit a CV and complete your supporting statement using the template provided. Any queries should also be directed to Prospectus.
Our roles are open to discussion about flexible working, which may include arrangements such as part-time working, formalised flexitime, fixed (non-standard) working hours, working from home and job-sharing.
Flexible working - while our teams are office based, it's fine to work from home regularly, and we welcome discussions about working part-time.
Ranked by Indeed as a top 10 non-profit employer in the UK (December 2018).
Closing date: 13th March 2019
We welcome applications from Local Citizens Advice staff and are open to arranging secondments.
We particularly welcome applications from disabled and Black, Asian and Minority Ethnic (BAME) candidates as BAME and disabled people are currently under-represented throughout Citizens Advice. We are a member of the race equality campaign at Business in the Community, the Prince’s responsible business network and are committed to improving employment opportunities for ethnic minorities across the UK. We also welcome applications from, LGB and Trans and non binary candidates.
We have made a positive commitment to employing disabled people and guarantee to interview all disabled candidates who meet the minimum essential criteria for the role as set out in role profiles
17/06/2019
Full time
In this role you’ll join our data and analysis team to support continuous improvement for a programme which has the potential to impact many people’s lives. You’ll use software packages and processes to assist in the production and analysis of our data, and to provide insights.. These insights will be used to inform improvements and changes we need to make to our design and how we deliver our services.
Citizens Advice offers confidential advice online, over the phone, and in person, for free. Through our national network of charities, we give people the knowledge and the confidence they need to find their way forward – whoever they are, and whatever their problem. In 2017-18 we helped 2.6 million people face to face, over the phone, by email and webchat, and people visited our online advice pages 25 million times. We help with everything from money issues to problems at work, housing to consumer rights. Now we want to do even more.
Citizens Advice are working exclusively with our recruitment partners Prospectus on this position. All applications must be made through the Prospectus website where you can download the job pack, submit a CV and complete your supporting statement using the template provided. Any queries should also be directed to Prospectus.
Our roles are open to discussion about flexible working, which may include arrangements such as part-time working, formalised flexitime, fixed (non-standard) working hours, working from home and job-sharing.
Flexible working - while our teams are office based, it's fine to work from home regularly, and we welcome discussions about working part-time.
Ranked by Indeed as a top 10 non-profit employer in the UK (December 2018).
Closing date: 13th March 2019
We welcome applications from Local Citizens Advice staff and are open to arranging secondments.
We particularly welcome applications from disabled and Black, Asian and Minority Ethnic (BAME) candidates as BAME and disabled people are currently under-represented throughout Citizens Advice. We are a member of the race equality campaign at Business in the Community, the Prince’s responsible business network and are committed to improving employment opportunities for ethnic minorities across the UK. We also welcome applications from, LGB and Trans and non binary candidates.
We have made a positive commitment to employing disabled people and guarantee to interview all disabled candidates who meet the minimum essential criteria for the role as set out in role profiles
Infectious Media is an international programmatic agency that partners with global brands to deliver effective and efficient media campaigns. Founded at the dawn of the programmatic era we have developed specialist teams and technology that exclusively focus on making programmatic work for advertisers. As part of the Infectious Media team, you can expect to work with some of the world’s leading brands including John Lewis, M&S and Mastercard. The Data Engineering team at Infectious Media forms the core of the Platform team, linking all the other departments together and facilitating simple, fast and robust data exchange between each and every system we use. Our ETL and BI platforms use cutting-edge Google Cloud technologies and give us a significant advantage in our industry. They handle very large volumes of data and are critical to our business and customers. We are looking for someone to develop and enhance the smooth day-to-day running of these systems, on-board new data sources efficiently, and contribute to ongoing best-practice development in the department.
Here's what we'd like you to do:
Work on the Extract, Transform and Load (ETL) processes of the company to ensure they remain efficient and robust
Understand the data warehousing and ETL needs of the company to help identify weaknesses in the current architecture and design improvements
Help upgrade the architecture of our in-house ETL platform as per roadmap
Identify and resolve data and reporting issues in a timely manner
Help to improve the efficiency and reliability of data systems and processes by identifying areas that would benefit from automation, including testing
Work with other platform Analysts and Managers to support the introduction of new technologies and data streams
This is what you'll have done already:
Good basic understanding of database and data warehouse technologies, including standard row RDBMS and columnar RDBMS
Some experience developing ETL scripts using a well-known platform e.g. Apache Airflow or SSIS
Scripting experience using Python 3 or similar scripting language
Experience using a cloud-based database e.g. Big Query or Redshift
Experience using MySQL or PostgreSQL, including schema design
Experience of at least one commercial BI platform e.g. Looker or Tableau
Some experience working directly with data on statistical problems
Some experience using Linux-based platforms
Computer Science or Maths degree
15/06/2019
Full time
Infectious Media is an international programmatic agency that partners with global brands to deliver effective and efficient media campaigns. Founded at the dawn of the programmatic era we have developed specialist teams and technology that exclusively focus on making programmatic work for advertisers. As part of the Infectious Media team, you can expect to work with some of the world’s leading brands including John Lewis, M&S and Mastercard. The Data Engineering team at Infectious Media forms the core of the Platform team, linking all the other departments together and facilitating simple, fast and robust data exchange between each and every system we use. Our ETL and BI platforms use cutting-edge Google Cloud technologies and give us a significant advantage in our industry. They handle very large volumes of data and are critical to our business and customers. We are looking for someone to develop and enhance the smooth day-to-day running of these systems, on-board new data sources efficiently, and contribute to ongoing best-practice development in the department.
Here's what we'd like you to do:
Work on the Extract, Transform and Load (ETL) processes of the company to ensure they remain efficient and robust
Understand the data warehousing and ETL needs of the company to help identify weaknesses in the current architecture and design improvements
Help upgrade the architecture of our in-house ETL platform as per roadmap
Identify and resolve data and reporting issues in a timely manner
Help to improve the efficiency and reliability of data systems and processes by identifying areas that would benefit from automation, including testing
Work with other platform Analysts and Managers to support the introduction of new technologies and data streams
This is what you'll have done already:
Good basic understanding of database and data warehouse technologies, including standard row RDBMS and columnar RDBMS
Some experience developing ETL scripts using a well-known platform e.g. Apache Airflow or SSIS
Scripting experience using Python 3 or similar scripting language
Experience using a cloud-based database e.g. Big Query or Redshift
Experience using MySQL or PostgreSQL, including schema design
Experience of at least one commercial BI platform e.g. Looker or Tableau
Some experience working directly with data on statistical problems
Some experience using Linux-based platforms
Computer Science or Maths degree
Job Description
We are looking for a Data Engineer to join our Data Team. The hire will be responsible for optimizing our data and data pipeline architecture, taking care of improving data flow and collection for cross functional teams.
The Data Engineer will sit in the Data Science team and support the data collection, manipulation and analysis cross different brand teams in an FMCG application field.
The Data Engineer will support the re-design of internal processes and might be involved in the automation of tasks for the operations team. They must be comfortable supporting the data needs of multiple teams, systems and products.
Main responsibilities
Work within the data science team and very closely with data analysts to support greater functionality in our data systems and models;
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc;
Develop, test and maintain optimal data pipeline architectures (such as large-scale processing systems) and ensure that these meet business requirements;
Assemble large, complex data sets leveraging internal and external data sources;
Build or support the infrastructure required for optimal ETL from a wide variety of data sources using appropriate technologies
Understand and address data security issues
Qualifications
We are looking for a candidate with education in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have working experience using the following software/tools:
Relational SQL and NoSQL databases: Postgres, Google BigQuery, MongoDB, etc.
AWS cloud services (EC2, EMR, RDS, Redshift) and/or Google Cloud Services;
Scripting languages: Python, Java, C++, Scala, etc.
Big data tools: Hadoop, Spark, Kafka, etc.
Good knowledge of software architecture design for larger scale scripts
Time management and organizational skills: the candidate will have to be able to scope projects and pro-actively understand projects opportunities;
Ability to produce documentation;
Experience supporting and working with cross-functional teams in a dynamic environment, preferably in Media;
Microsoft Excel (some knowledge or previous experience of VBA is also a plus)
Additional desired skills
Ability to analyse and gain insights from data;
Interest in Data Visualization;
An understanding of machine learning and statistical modelling techniques;
FMCG experience is also a plus.
Additional Information
What you’ll get in return:
Comprehensive benefits package and competitive salary
We offer competitive pension plans, income protection, life assurance, Childcare vouchers and season ticket loan (after probation)
We strongly support a work-life balance and encourage agile and flexible working across the business
Subsidised massages, acupuncture and wellbeing treatments
The opportunity to learn from some of the most talented and knowledgeable digital marketers in the country
Inclusion & Diversity
Publicis Media is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background.
If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you
15/06/2019
Full time
Job Description
We are looking for a Data Engineer to join our Data Team. The hire will be responsible for optimizing our data and data pipeline architecture, taking care of improving data flow and collection for cross functional teams.
The Data Engineer will sit in the Data Science team and support the data collection, manipulation and analysis cross different brand teams in an FMCG application field.
The Data Engineer will support the re-design of internal processes and might be involved in the automation of tasks for the operations team. They must be comfortable supporting the data needs of multiple teams, systems and products.
Main responsibilities
Work within the data science team and very closely with data analysts to support greater functionality in our data systems and models;
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc;
Develop, test and maintain optimal data pipeline architectures (such as large-scale processing systems) and ensure that these meet business requirements;
Assemble large, complex data sets leveraging internal and external data sources;
Build or support the infrastructure required for optimal ETL from a wide variety of data sources using appropriate technologies
Understand and address data security issues
Qualifications
We are looking for a candidate with education in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have working experience using the following software/tools:
Relational SQL and NoSQL databases: Postgres, Google BigQuery, MongoDB, etc.
AWS cloud services (EC2, EMR, RDS, Redshift) and/or Google Cloud Services;
Scripting languages: Python, Java, C++, Scala, etc.
Big data tools: Hadoop, Spark, Kafka, etc.
Good knowledge of software architecture design for larger scale scripts
Time management and organizational skills: the candidate will have to be able to scope projects and pro-actively understand projects opportunities;
Ability to produce documentation;
Experience supporting and working with cross-functional teams in a dynamic environment, preferably in Media;
Microsoft Excel (some knowledge or previous experience of VBA is also a plus)
Additional desired skills
Ability to analyse and gain insights from data;
Interest in Data Visualization;
An understanding of machine learning and statistical modelling techniques;
FMCG experience is also a plus.
Additional Information
What you’ll get in return:
Comprehensive benefits package and competitive salary
We offer competitive pension plans, income protection, life assurance, Childcare vouchers and season ticket loan (after probation)
We strongly support a work-life balance and encourage agile and flexible working across the business
Subsidised massages, acupuncture and wellbeing treatments
The opportunity to learn from some of the most talented and knowledgeable digital marketers in the country
Inclusion & Diversity
Publicis Media is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background.
If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you
Marks & Spencer
Paddington Station, Praed Street, London, UK
Job purpose The M&S Food Data Science team was set up in April 2018. Since our inception it has grown rapidly both in the number of team members and in the areas across the business where we are involved and making an impact. Our long-term goal is to build a framework of sophisticated machine learning models which can optimise the entire food supply chain. We have built a number of models for which we have trialled the outputs and demonstrated their business value. We would now like to scale up these models across the food estate. In order to do this, we need to productionise our analytical pipelines. This has two aspects: (1) working with our IT data team to set up automated data extract, transformation, and loading processes and (2) model deployment within applications and integration within other business systems. As a data engineer within the Food Data Science team, you will lead on developing our capabilities in this area.
Key accountabilities and measures
Leading on the design and implementation of automated data ingestion, cleaning, and transformation pipelines for machine learning models
Designing and implementing the scheduling and deployment of models, and their integration with other applications
Coordinating and championing DevOps practices related to developing and deploying analytical solutions
Engaging with key technical stakeholders and teams within the business to deliver the above points
Supporting upskilling other members of the team and wider analytical community through development activities
Remaining up-to-date on new developments within the data engineering space and embedding in the team where appropriate
Key skills General:
Demonstrable experience as a Data Engineer (experience working within supply chain is beneficial but not essential)
Experience working within a multidisciplinary analytical team
Can collaborate with other technical/IT functions to deliver projects
Technical:
Advanced knowledge of SQL, including stored procedures, views and query optimisation
Use of Parquet files or HDFS for data storage, including optimising partitions
Use of scheduling tools, containers, and APIs to deploy analytical services such as machine learning models
Use of DevOps techniques such as unit testing and continuous integration
Preferred:
Use of Spark/Databricks for data ingestion and manipulation and delivery of analysis, including cluster architecture design
Advanced knowledge of at least one of Python or Scala
Use of existing statistical or machine learning techniques to automate data cleaning
Experience using graph databases for data storage and querying
Key relationships and stakeholders
Food Data Science Team
Food Analytics Team
IT Product Teams
Big Data Team
Analytical Community
15/06/2019
Full time
Job purpose The M&S Food Data Science team was set up in April 2018. Since our inception it has grown rapidly both in the number of team members and in the areas across the business where we are involved and making an impact. Our long-term goal is to build a framework of sophisticated machine learning models which can optimise the entire food supply chain. We have built a number of models for which we have trialled the outputs and demonstrated their business value. We would now like to scale up these models across the food estate. In order to do this, we need to productionise our analytical pipelines. This has two aspects: (1) working with our IT data team to set up automated data extract, transformation, and loading processes and (2) model deployment within applications and integration within other business systems. As a data engineer within the Food Data Science team, you will lead on developing our capabilities in this area.
Key accountabilities and measures
Leading on the design and implementation of automated data ingestion, cleaning, and transformation pipelines for machine learning models
Designing and implementing the scheduling and deployment of models, and their integration with other applications
Coordinating and championing DevOps practices related to developing and deploying analytical solutions
Engaging with key technical stakeholders and teams within the business to deliver the above points
Supporting upskilling other members of the team and wider analytical community through development activities
Remaining up-to-date on new developments within the data engineering space and embedding in the team where appropriate
Key skills General:
Demonstrable experience as a Data Engineer (experience working within supply chain is beneficial but not essential)
Experience working within a multidisciplinary analytical team
Can collaborate with other technical/IT functions to deliver projects
Technical:
Advanced knowledge of SQL, including stored procedures, views and query optimisation
Use of Parquet files or HDFS for data storage, including optimising partitions
Use of scheduling tools, containers, and APIs to deploy analytical services such as machine learning models
Use of DevOps techniques such as unit testing and continuous integration
Preferred:
Use of Spark/Databricks for data ingestion and manipulation and delivery of analysis, including cluster architecture design
Advanced knowledge of at least one of Python or Scala
Use of existing statistical or machine learning techniques to automate data cleaning
Experience using graph databases for data storage and querying
Key relationships and stakeholders
Food Data Science Team
Food Analytics Team
IT Product Teams
Big Data Team
Analytical Community
Do you have passion to transform P&G's brand building while enabling better decision-making through advanced analytics? enhance business results and improving consumer's lives every single day? Then this role could be perfect for you. Information Technology (IT) uses information and business knowledge to craft innovative solutions that change the way P&G runs business. We innovate every single day the way business is done, through advanced mathematical models, providing optimization algorithms and uncovering unexpected insights. A career in IT Data & Analytics will build your ability to influence and think strategically, across a breadth of experiences on multiple P&G business. In Analytics & Insights we partner with the consumer research group, creating a multifunctional team that delivers breakthrough insights and innovative business transformation to P&G. This is a unique opportunity to join an award-winning IT and Analytics community working on a multi-billion dollar business based in our P&G UK Head Office in Greater London (Weybridge, Surrey). Your responsibilities to start your career will be: Earn the role of trusted advisor of the Northern Europe Oral Care leadership team Deliver regular analytic insights, by using advanced analytic techniques, mining extremely large data sets and applying best in class algorithms developed with/by other Data Scientists, for example Analyze Market & Share performance of our brand portfolio to spot trends and understand their true causes Forecast key competitive threats as well as growth opportunities and design market strategies Model the expected outcomes of alternative scenarios to best inform the top management and provide recommendations to facilitate better and faster choices, impacting multi-million dollar decisions. Lead and improve the analytical program of your business unit together with our consumer research group: Design the data strategy for the business unit Adopt the right platform and big data technologies, collaborating with P&G Global Business Services managers Operationalize best in class algorithm Grow the organizations’ knowledge with analytic capabilities. To qualify for the position, you possess the following qualities: Bachelor or Master Degree (preferably but not necessarily in a quantitative field e.g. Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics etc) Can handle multiple priorities and you have either an entrepreneur or consultancy mind-set, while technically (data) savvy. Passionate about discovering new things and learn quickly. Strong interpersonal skills, self-motivated, collaborative and "can-do" attitude Effective communication, excellent verbal and written English business skills required …and it would be great to have as an addition: Modelling and Operational Research basics Data Science basic (e.g. Machine Learning, Cross Validation, Target Shuffling…) Data management and visualization skills / tools (KNIME, Spotfire, PowerBI or similar) is nice to have Together with programming languages (Python, R, C#, SQL or Java) What we offer: Responsibility from Day 1 – you will feel the ownership of your work from the beginning Recognized cutting edge IT skills with development opportunities in either a Data & Analytics specialized career path Meaningful work in a dynamic, diverse, multi-cultural and flexible working environment, impacting future business results. Continuous coaching and mentorship Dynamic, creative and supportive work environment Employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance A competitive complete compensation and benefits package, including company contributed pension scheme, share plans and private medical insurance. To find more information about our benefits package take a look here: https://www.pgcareers.com/benefits Who we are P&G is one of the world’s largest consumer goods companies and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We have one of the strongest portfolio’s of loved and trusted brands such as Braun®, Fairy®, Gillette®, Head & Shoulders®, Aussie®, Oral-B®, and Pampers®. We’re consistently recognised as one of the UK’s leading graduate employers listed in Times Top 100 Graduate Employers; The Best Places to Work – Glassdoor; Guardian UK 300; Job Crowd – Best Places for Graduates to Work and Universum’s Most Attractive Employers.” At P&G #weseeequal Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on inclusion. We are an equal opportunity employer and value diversity at our company. Our people are all equally talented in unique ways: we come from diverse traditions, personal experiences and points of view. And we want to include yours. Are you ready to inspire us with your unrivalled ideas?” We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability or any other legally protected factor. We value flexibility and life balance and we have tools and policies ensuring our people feel part of an inclusive community
15/06/2019
Full time
Do you have passion to transform P&G's brand building while enabling better decision-making through advanced analytics? enhance business results and improving consumer's lives every single day? Then this role could be perfect for you. Information Technology (IT) uses information and business knowledge to craft innovative solutions that change the way P&G runs business. We innovate every single day the way business is done, through advanced mathematical models, providing optimization algorithms and uncovering unexpected insights. A career in IT Data & Analytics will build your ability to influence and think strategically, across a breadth of experiences on multiple P&G business. In Analytics & Insights we partner with the consumer research group, creating a multifunctional team that delivers breakthrough insights and innovative business transformation to P&G. This is a unique opportunity to join an award-winning IT and Analytics community working on a multi-billion dollar business based in our P&G UK Head Office in Greater London (Weybridge, Surrey). Your responsibilities to start your career will be: Earn the role of trusted advisor of the Northern Europe Oral Care leadership team Deliver regular analytic insights, by using advanced analytic techniques, mining extremely large data sets and applying best in class algorithms developed with/by other Data Scientists, for example Analyze Market & Share performance of our brand portfolio to spot trends and understand their true causes Forecast key competitive threats as well as growth opportunities and design market strategies Model the expected outcomes of alternative scenarios to best inform the top management and provide recommendations to facilitate better and faster choices, impacting multi-million dollar decisions. Lead and improve the analytical program of your business unit together with our consumer research group: Design the data strategy for the business unit Adopt the right platform and big data technologies, collaborating with P&G Global Business Services managers Operationalize best in class algorithm Grow the organizations’ knowledge with analytic capabilities. To qualify for the position, you possess the following qualities: Bachelor or Master Degree (preferably but not necessarily in a quantitative field e.g. Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics etc) Can handle multiple priorities and you have either an entrepreneur or consultancy mind-set, while technically (data) savvy. Passionate about discovering new things and learn quickly. Strong interpersonal skills, self-motivated, collaborative and "can-do" attitude Effective communication, excellent verbal and written English business skills required …and it would be great to have as an addition: Modelling and Operational Research basics Data Science basic (e.g. Machine Learning, Cross Validation, Target Shuffling…) Data management and visualization skills / tools (KNIME, Spotfire, PowerBI or similar) is nice to have Together with programming languages (Python, R, C#, SQL or Java) What we offer: Responsibility from Day 1 – you will feel the ownership of your work from the beginning Recognized cutting edge IT skills with development opportunities in either a Data & Analytics specialized career path Meaningful work in a dynamic, diverse, multi-cultural and flexible working environment, impacting future business results. Continuous coaching and mentorship Dynamic, creative and supportive work environment Employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance A competitive complete compensation and benefits package, including company contributed pension scheme, share plans and private medical insurance. To find more information about our benefits package take a look here: https://www.pgcareers.com/benefits Who we are P&G is one of the world’s largest consumer goods companies and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We have one of the strongest portfolio’s of loved and trusted brands such as Braun®, Fairy®, Gillette®, Head & Shoulders®, Aussie®, Oral-B®, and Pampers®. We’re consistently recognised as one of the UK’s leading graduate employers listed in Times Top 100 Graduate Employers; The Best Places to Work – Glassdoor; Guardian UK 300; Job Crowd – Best Places for Graduates to Work and Universum’s Most Attractive Employers.” At P&G #weseeequal Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on inclusion. We are an equal opportunity employer and value diversity at our company. Our people are all equally talented in unique ways: we come from diverse traditions, personal experiences and points of view. And we want to include yours. Are you ready to inspire us with your unrivalled ideas?” We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability or any other legally protected factor. We value flexibility and life balance and we have tools and policies ensuring our people feel part of an inclusive community
Marks & Spencer
Paddington Station, Praed Street, London, UK
Working alongside a team of likeminded analysts, you will implement analytical techniques in a demanding and fast paced commercial environment. With an intuitive grasp of numbers, you will be passionate about driving innovative analytical thinking and will genuinely be excited about the benefits a Foods centric data driven approach can bring.
Through the use of advanced reporting and analytics, you will be providing the Supply Chain and wider functions with the ability to interact with and understand their key performance indicators. Enabling areas to make informed, accurate and timely decisions from targeted information.
You will be supporting Foods Supply Chain by exploiting our data to optimise commercial performance and information accessibility through analytics. You will be working with a number of Supply Chain functions to improve their understanding of how our business performs and where it can improve.
Key accountabilities and measures
Accountabilities:
Champion a culture of analytical ‘curiosity’ through the development of innovative data driven solutions to business questions.
Develop and prepare reports / insight for Supply Chain to monitor performance, and when needed present and illustrate findings to ensure key learnings are understood.
Work closely with stakeholders to fully understand requirements and provide collaborative solutions based on a commercial and analytical understanding.
Provide daily operational support ensuring all required reporting systems and applications are available to the user group.
Become an advocate for using data manipulation and visualisation tools.
Work collaboratively with the other analysts in the team to create a thriving analytics environment where knowledge and ideas are shared.
Deliver analytics priorities by consulting with key stakeholders across Supply Chain (e.g. Supply Chain Leadership and Management team, Store Performance, Forecast and Inventory Planners, Supply Chain Planners, Food Central Support).
Measures:
Recommendations provided have supported measurable improvements to Foods Supply Chain (e.g. availability, operational efficiencies, sales growth etc.).
Analytical output has influenced new ways of working across Supply Chain and the wider business.
Regular analysis and data products are innovative, accurate and delivered on time.
Increased the use and knowledge of data manipulation and reporting tools within the Supply Chain functions.
Feedback from key stakeholders across Foods Supply Chain and the Leadership team is positive.
Commitment shown to your Personal Development interest in improving technical knowledge and analytical skills.
Key skills
Essential:
Exceptional problem solving, analytical and numerical skills.
Experience visualising data and presenting analytics.
Knowledge of manipulating and transforming data sets and applying analytical methodologies.
Ability to interact with the business to understand their needs and interpret how they could be fulfilled using the available data.
Advanced MS Office skills (e.g. MS Excel, MS Access, Power BI, VBA, Power Query/Pivot/Point/Apps).
Experience with the following or similar applications is preferable: Spotfire, Tableau, Power BI, Business Objects, Relational Databases.
Enthusiasm and desire to learn new tools and techniques.
Knowledge of data-orientated and programming languages would be beneficial (SQL, R, Python).
Experience working in a fast paced and effective Analytics or Insight functions
Advantageous:
Exposure to Big Data environments such as Hadoop Impala / Hive / Azure.
Working knowledge of a Retail or FMCG organisation.
Knowledge of Food/Supply Chain systems and processes.
Previous experience in performing and maintaining data quality
15/06/2019
Full time
Working alongside a team of likeminded analysts, you will implement analytical techniques in a demanding and fast paced commercial environment. With an intuitive grasp of numbers, you will be passionate about driving innovative analytical thinking and will genuinely be excited about the benefits a Foods centric data driven approach can bring.
Through the use of advanced reporting and analytics, you will be providing the Supply Chain and wider functions with the ability to interact with and understand their key performance indicators. Enabling areas to make informed, accurate and timely decisions from targeted information.
You will be supporting Foods Supply Chain by exploiting our data to optimise commercial performance and information accessibility through analytics. You will be working with a number of Supply Chain functions to improve their understanding of how our business performs and where it can improve.
Key accountabilities and measures
Accountabilities:
Champion a culture of analytical ‘curiosity’ through the development of innovative data driven solutions to business questions.
Develop and prepare reports / insight for Supply Chain to monitor performance, and when needed present and illustrate findings to ensure key learnings are understood.
Work closely with stakeholders to fully understand requirements and provide collaborative solutions based on a commercial and analytical understanding.
Provide daily operational support ensuring all required reporting systems and applications are available to the user group.
Become an advocate for using data manipulation and visualisation tools.
Work collaboratively with the other analysts in the team to create a thriving analytics environment where knowledge and ideas are shared.
Deliver analytics priorities by consulting with key stakeholders across Supply Chain (e.g. Supply Chain Leadership and Management team, Store Performance, Forecast and Inventory Planners, Supply Chain Planners, Food Central Support).
Measures:
Recommendations provided have supported measurable improvements to Foods Supply Chain (e.g. availability, operational efficiencies, sales growth etc.).
Analytical output has influenced new ways of working across Supply Chain and the wider business.
Regular analysis and data products are innovative, accurate and delivered on time.
Increased the use and knowledge of data manipulation and reporting tools within the Supply Chain functions.
Feedback from key stakeholders across Foods Supply Chain and the Leadership team is positive.
Commitment shown to your Personal Development interest in improving technical knowledge and analytical skills.
Key skills
Essential:
Exceptional problem solving, analytical and numerical skills.
Experience visualising data and presenting analytics.
Knowledge of manipulating and transforming data sets and applying analytical methodologies.
Ability to interact with the business to understand their needs and interpret how they could be fulfilled using the available data.
Advanced MS Office skills (e.g. MS Excel, MS Access, Power BI, VBA, Power Query/Pivot/Point/Apps).
Experience with the following or similar applications is preferable: Spotfire, Tableau, Power BI, Business Objects, Relational Databases.
Enthusiasm and desire to learn new tools and techniques.
Knowledge of data-orientated and programming languages would be beneficial (SQL, R, Python).
Experience working in a fast paced and effective Analytics or Insight functions
Advantageous:
Exposure to Big Data environments such as Hadoop Impala / Hive / Azure.
Working knowledge of a Retail or FMCG organisation.
Knowledge of Food/Supply Chain systems and processes.
Previous experience in performing and maintaining data quality
