Job Title: Senior Data Analyst

Career level: D1

Introduction to role:

Are you ready to harness data and AI to strengthen a global end-to-end supply chain and get medicines to patients faster? Join a team that applies advanced analytics and automation to improve how we plan, make, and deliver-reducing lead times, increasing service levels, and improving sustainability. You will turn complex operational signals into clear actions that help colleagues make confident decisions at pace.

Here, technology is a core lever for impact. You will work across planning, procurement, manufacturing, logistics, and finance to translate business needs into scalable data products and AI-enabled tools. Can you see yourself shaping next-best actions that prevent disruptions before they happen and elevate performance across sites and regions?

Accountabilities:

• Insightful Analytics Delivery: Build reproducible analytics with SQL, Python, R, Databricks, and Power BI to produce actionable insights across the end-to-end supply chain.
• Scenario Modelling and Decision Support: Run data modelling and scenario analysis that informs inventory, capacity, sourcing, and logistics decisions with measurable business outcomes.
• Agentic AI Development: Use Power Automate, Power Apps, Dataiku, and Copilot Studio to automate exception handling and deliver intelligent, agentic AI solutions that guide next-best actions.
• Data Product Translation: Translate business needs into scalable data products, dashboards, and AI-enabled decision tools that improve decision-making and adoption.
• Data Quality Stewardship: Establish and maintain robust metadata, lineage, access controls, and standards so stake holders trust and reuse data with confidence.
• Business Analysis and Adoption: Lead requirements gathering, process mapping, user stories, UAT, and stake holder alignment to ensure solutions land well and deliver value.
• Delivery Coordination: Manage dependencies and coordinate delivery across teams, moving from pilot to scale reliably and on time.
• Transformation Impact: Contribute to initiatives that strengthen efficiency, communication, and operational excellence-start by stabilizing critical dashboards, then evolve to enterprise-grade products that uplift performance globally.

Essential Skills/Experience:

• Deliver high quality analytics and insights across end to end supply chain functions by applying solid skills in data analysis, business analysis, and automation to solve operational challenges and improve decision making.
• Develop reproducible analytics using SQL, Python, R, Databricks, and Power BI.
• Perform data modelling, scenario analysis, and insight generation.
• Ensure data quality through effective stewardship of metadata, lineage, access controls, and standards.
• Translate business needs into scalable data products, dashboards, and AI enabled decision tools.
• Use Power Automate, Power Apps, Dataiku, and Copilot Studio to automate processes and build intelligent, agentic AI solutions for exception handling and next best action support.
• Strong BA skills-requirements gathering, process mapping, user stories, UAT, and stake holder alignment.
• Close collaboration across planning, procurement, operations, logistics, and finance.
• Coordinate delivery, manage dependencies, drive solution adoption, and support transformation initiatives that strengthen efficiency, communication, and operational excellence while deepening your technical and supply chain expertise.

Desirable Skills/Experience:

• Experience in pharmaceutical or life sciences supply chain analytics.
• Expertise with Azure data services, Delta Lake, and enterprise data platforms.
• Knowledge of advanced statistical methods, optimization, simulation, or forecasting techniques.
• Familiarity with SAP or other ERP, planning and logistics systems, and master data management.
• Proficiency with version control and CI/CD for analytics (Git, DevOps) and test automation.
• Strong data storytelling, dashboard UX, and guiding transitions to drive adoption.
• Understanding of data privacy, security, and governance in regulated environments.
• Lean Six Sigma or similar continuous improvement experience.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

You will see your work move from idea to impact across a digitally enabled supply chain-powering smart factories, robotic process automation, and machine learning that improve quality and speed for patients. We bring surprising combinations of experts together to spark bold ideas, pair ambition with kindness, and scale what works quickly. You will be backed by leaders who invest in data and technology, a collaborative culture that shares takeaways across sites and functions, and the opportunity to shape solutions that measurably improve reliability, sustainability, and outcomes for people who need our medicines.

Call to Action:

If you are ready to turn analytics into decisive actions that make a real-world difference, submit your application today and help shape the future of how we deliver life-changing medicines.

Date Posted

11-Mar-2026

Closing Date

24-Mar-2026

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.