Data Provisioning Business Analyst
Macclesfield UK, Warsaw PLN, Barcelona ESP, Gothenburg SWE
Competitive Salary + Benefits
Be empowered to be innovative and creative where difference is valued.
Would you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group who has direct strategic impact on drug development, playing a key role in getting medicines to patients? At AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a real passion for discovery and a pipeline to show for it. Here, you'll have the opportunity to make a difference in people's lives every single day.
AstraZeneca is investing in data management and analysis capabilities, through its long-term Growth Through Innovation Strategy. The DS&AI team collaborates across R&D to drive innovation through data science and AI. Together we seek to:
Improve our understanding of disease and uncover new targetsTransform R&D processesSpeed the design and delivery of new medicines for patientsThe R&D Data Office, within DS&AI, is a key organisation to deliver upon AstraZeneca's strategy. Data Office operates a central capability, with R&D wide accountability, to ensure that we harness the power of data to drive innovative science. Data Office will govern data, drive data quality and ensure our data is readied for analytics, creating paved-paths for scientists to perform data-driven research, without compromising our legal restrictions or ethical principles.
Within Data Office, your role is Data Provisioning Business Analyst, a member of a dedicated Data Provisioning Operations team. This team performs data provisioning activities for AstraZeneca R&D, supporting data-driven science across our key therapy areas and all stages of drug discovery and development.
As a Business Analyst, you will support two key themes of work. First, you will support end-to-end requirements engineering activities for our highest priority and potentially complex data provisioning projects. Second, you will be aligned to driving improvement of the Data Provisioning team operations including defining and monitoring team performance against KPIs, conducting process improvements in response to additional data scope, new team capabilities, evolving data governance and policies.
In addition to core business analysis skills, to be successful in this role, you must demonstrate an excellent ability to communicate and analyse stakeholder needs across a broad range of disciplines and have a passion for driving business value to customer groups. In performing this role, your work will enable efficient data provisioning activities, ensuring that our data scientists are accelerated in their work, in turn, driving innovative science and ultimately, the creation of novel life-changing medicines for patients globally.
Typical Accountabilities Supporting our engagement leads to scope-out data provisioning projects with R&D stakeholders.Stakeholder analysisDeveloping and executing on business analysis plans to drive success of data provisioning projects.End-to-end requirements engineering for data provisioning projects, including planning and running requirements analysis activities (e.g., interviews, workshops), analysing user requirements and requirements documentation.Following projects through to completion and ensuring our R&D partners achieve their desired outcomes, feeding back to the team and helping to plan tactical and strategic improvements.As-is and to-be process mapping in response to additional data scope, new team and technology capabilities.Helping the operations team lead to establish KPIs and subsequently monitoring team performance and evolving data governance and policies.Process mapping conversion into operating manuals for services and new technology introduction.Analysis of metrics to create operational dashboards in Business intelligence tools.Education, Skills and Experience Required Have a minimum of 5 years as a business analyst with a track record of successful business change project work.Hold a degree or equivalent in a scientific, technical or engineering discipline.Business process modelling notation.Strong requirements gathering technique.Ability to structure and generate robust and testable requirements.Stakeholder analysis and management capabilities.Hold an industry recognised qualification in business analysis, e.g., BCS or IIBA.Experience from Pharma.
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