This role can be performed from any AZ IT location: UK/US/SE/Chennai/Guad

Technology at AstraZeneca is a home for purposeful disruptors!

Here our work has a direct impact on patients – transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.

This role sits within the Strategy & Execution team of IT's Strategy & Performance function. The Strategy & Execution team supports our IT teams to align their objectives and key results to deliver the IT2025 strategic priorities. We are bringing clarity and cross functional team alignment, creating a culture and mindset that embraces collaboration, results management and outcomes thinking.  We are building a data-driven, digital approach to defining, aligning, managing and reporting strategic outcomes, helping our teams to execute fast and work with purpose

As a Data Analyst with the Strategy & Performance team you will be playing a key role in defining, storing, coordinating, analyzing and visualizing business performance measures; enabling high-level, data-driven determinations to be made across a wide range of stakeholder teams will be communicating analytical information to technical and non-technical business leaders and stakeholders, enabling them to make the best possible strategic decisions.

Accountabilities:

• Support the Principal Data Analysts with the identification & documentation of data flows & integrations

• Collect and interpreting data, analysing results and reporting the results back to colleagues and stakeholders

• Design and deliver reports and dashboard and data visualizations that support business reviews and stakeholder requirements

• Identify patterns and trends in data sets and developing algorithms to help make raw data more useful and reduce time from question to insight

• Define and document data collection and analysis processes and data lifecycle management information

• Ingest and connect data from a variety of data sources and transforming in data management tools (e.g. Microsoft Power BI query editor)

• Design, build and deploy BI solutions (Reporting tools)

• Support S&P data analytics platform and data storage tools

• Build data models and visualisations (e.g. based on Python or R)

• Define and continually improve data models, data storage and data collection techniques, implementing lean processes

• Clearly and objectively visualizing and communicating insights and results, as well as their associated uncertainties and limitations

• Execute ad-hoc analysis on the stored datasets to answer specific one-off questions from business leaders and stakeholders.

• Supporting benchmarks for comparison through Gartner or other external consultancies

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Essential Requirements - Education/Experience/Skills:

• Undergraduate degree in a Science, Mathematics, Science, Data & Information Management or relevant experience in working with data models and reporting packages

• Domain data understanding

• Experience developing dashboards and reports using MS Excel, ServiceNow, MS Power Bi, MS PowerPoint, Python/ R, ODBC/JDBC.

• Visualisation techniques and Infographic knowledge to present data to stakeholders

• Experience providing maintenance and support of data feeds, SQL queries, SQL reports, and raw data exports/imports from reporting systems

• Proficient in Power BI - making DAX queries in Power BI desktop, integrating & publishing reports into other applications , developing custom visuals & developing compelling insights

• Experience in Agile scrums and ways of working

Desirable Requirements:

• Post-graduate degree in MIS, Data Management

• Experience of Data Analysis enabling tool kits

• Experience in working in multi-skilled, multi- location teams, working to agile principles.

• Knowledge and skills for secondary tools such as Microsoft Azure, SQL data warehouse, PolyBase, Visual Studio, etc.

• Ability to locate areas of improvements in existing process through data mining

• Understanding performance measures and ability to identify improvements

This role will be advertised internally only until Midnight BST on Friday 28th May - Please could we request you apply using your completed Workday talent card/profile rather than a CV where possible

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.