AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a rare workplace culture that encourages innovation and partnership, employees are empowered to express different perspectives and are made to feel valued, energized and rewarded for their ideas and creativity.
Department – Data & Analytics, S&EUIT
Science and Enabling Units IT is a global IT capability supporting Drug Research, Drug Development, Product & Portfolio Strategy, Medical Affairs, Finance, HR, Compliance, Legal and Global Business Services. We are organized around 7 key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, Change & Operations, operating out of sites across the US, UK, Sweden, India and Mexico.
Data & Analytics provides analytics and data insight services and solutions critical to the Data & AI/ML emerging strategy and mission of S&EUIT and AZ. D&A is organized into teams specializing in Information Architecture, Data Engineering, Visual Engineering, Knowledge Management, Data Science, Data Analysis and Information Governance.
The role holder should deliver tangible and measurable value to S&EUIT partners by taking a data analysis role in the delivery of the major D&A solutions. The primary task will be to design and build Global Medical Excellence(GME) end-to-end reporting support system that helps demonstrating execution of clinical strategy. You will be responsible for (i) identifying the source data sources and objects in existing reporting systems; (ii) build mapping and models from existing data sources; and (iii) validating the mappings and models from data hubs by further devising metrics effective in analysis and reporting clinical strategy.
Key will be profiling the data to understand data format and quality. Once the data is understood and documented, the data analyst will work closely with Information Architects in crafting the target state model, Engineers in crafting any ETL required, and BAs/business data stewards on quality issues which will be a blocker to the analytics requirements.
The DA will be an integral and respected part of the global team, whose input and expertise will be instrumental in ensuring the success of this delivery. The role will invariably be one of a ‘data detective’, understanding where data is in the estate, the suitability of the data to the problem in hand, the restrictions on using that data and documenting to enable re-use.
Candidate Knowledge, Skills and Experience
In addition, you will be expected to demonstrate the following Leadership Skills
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.