Company Profile:

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. At AstraZeneca we’re dedicated to being a Great Place to Work.

Job description:

Job Role Details

What you will do:

Collaborate with multiple functions and senior leaders within various Business groups to determine the capabilities and needs of an Analytical stack.

Designing and implementing an end-to-end process that governs analytics lifecycle

Covering various aspects right from data collection to advanced analysis

Articulate and document requirements to the delivery partners and Implementation team to succesfully implement and maintain the Analytics infrastructure needed to support Analytics at scale

Be engaged in data management work such as: design of an analytics catalogue, promoting data literacy, participating in analytics governance forums and being the champion for citizen data services.

Heavily engaged in setting up the foundational design aspects of a successful and scalable analytical stack.

Develop & embed standards and guidelines for the business intelligence lifecycle.

Prepare material, tools, sample data, and processes and conduct demos to promote the platform capabilities

Contribute to the analytics and AI operating model.

Identify learning and development needs.

 

Essential Qualifications:

Strong business analysis experience and knowledge of analytics.

Influencing design and user experience.

Exposure to modern Analytical data stack

Knowledge of Analytics Catalog development and best practices

Strong drive to learn new concepts in business processes, tools, and applications.

Experience in driving fundamental and best standards for Analytics

 

Desirable Qualifications:

Experience in one or more full S/4 HANA implementation cycle/s in Analytics using embedded analytics, SAP Analytics Cloud and understanding of SAP B/W4 HANA or SAP Datasphere

Experience in working with large and sophisticated data sets in commonly used BI tools like SAP Analytics Cloud, Qlik & PowerBI.

Experience in Business Process Mapping using BPMN (Business Process Model Notation) 2.0.

Regulatory experience, e.g. GxP and SOx (Sarbanes Oxley).

Familiarity with data science, AI/ML concepts and use cases in General

Bio-Tech, Pharmaceutical or Life Sciences experience.

Experience in large scale, complex & multi-year projects.