Business Intelligence Specialist

  • Sage
  • London, UK
  • 09/04/2022
Full time Data Engineering Business Intelligence Artificial Intelligence Software Engineering jobs

Job Description

Full Job Description

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People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it!
At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.
We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! #lifeatsage #sagecareers. If you would like support with your application (or require any adjustments) please contact us at careers@sage.com for assistance. All qualified applicants will be thoughtfully considered and never discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status.

Job Description

The Business Intelligence Specialist role will form an important part of the Data & Insights team to build a global multi-sourced data model and deploy web-based business intelligence tools to support the automation of reporting and insights to regional operational teams and global C-Suite executives. This role will liaise with stakeholders across the organization to map out business processes, promote the utilisation of data to provide business insights for data-driven decision making and recommend solutions to enable the achievement of organisational goals

Key Responsibilities

  • To design, develop, maintain, and provide support for the roll-out of a data transformation program:
i. Working with business executives and teams across departments and geographies to perform needs analysis, scoping of current processes and KPIs, identify areas of opportunities, and define business requirements
ii. Designing innovative data visualisation solutions which seamlessly facilitates data integration from multiple sources and allows for interactive data exploration; enabling end users to quickly find the information they need to make data driven decisions
iii. Design, build and maintain complex data acquisition and integration procedures, selecting appropriate combination of methods and tools to ensure optimal outcomes – including integrating into other data sources across countries and regions as required
iv. Manage user access whilst upholding data security requirements
v. Manage communication, training and support for end users
  • Drive automation of standard reports and processes, as well as data analysis and research; with the ability to manipulate and perform trend analysis to inform the development of predictive sales models
  • Operational Sales Reporting and Other Operational Metrics into weekly and monthly performance dashboards through an automated business intelligence tool (PowerBI or equivalent)
  • Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what will drive business performance, through investigating and then communicating areas for improvement (to increase revenue, lift customer satisfaction or improve profitability)
Skills, know-how and experience:
  • Experience working with business intelligence tools (e.g. Power BI, Tableau, Qlik Sense, etc…)
  • Experience with data query languages (i.e. SQL, SQAL, JSON)
  • Experience in sales operations, performance management, business analytics or business intelligence reporting
  • Good knowledge of Salesforce Architecture / Reporting
  • Must be comfortable with manipulating and drawing insights from large and unorganised datasets
  • Strong analytical and problem-solving skills
  • Moderate level of business acumen with a commercial mind set
  • BSc in computer science, engineering, business intelligence or Information systems
  • In depth knowledge and demonstrated success working with business software, spreadsheet applications, and exposure to major ERP applications