Data Analytics Senior Specialist, Commercial Insights

Are you ready to turn commercial data into decisions that expand access for patients with complex, underserved conditions? In this role, you will lead a focused analytics team that powers market strategy, portfolio choices, and field effectiveness for therapies that make a tangible difference. Your leadership ensures our stakeholders have clear, consistent, decision-ready insight at the moment it matters.

Competition is intensifying and healthcare budgets are tighter than ever. We move with vitality, and your ability to align stakeholders, elevate analytic rigor, and standardize critical metrics will accelerate how we act on evidence. Will you help set the benchmark for how data guides strategy across our commercial organization?

Accountabilities

• Team leadership: Supervise analytics/consulting teams, set priorities, allocate resources, and ensure timely, high-quality delivery across cross-functional initiatives.
• Coaching and development: Provide performance feedback, skills development, and career progression support; build a culture of continuous learning and excellence.
• Stakeholder partnership: Manage senior stakeholders, translate complex analyses into clear recommendations, and align teams on objectives and success metrics.
• Analytics delivery: Guide the design and execution of commercial analyses, dashboards, and reports using best-practice methodologies and robust QA.
• Data quality and governance: Establish and enforce data standards, validation processes, and documentation to ensure accuracy, consistency, and compliance.
• Tools and automation: Oversee development of scalable reporting and analytics solutions in Power BI/Excel/SQL (Snowflake preferred), with Python/VBA as appropriate.
• Program management: Manage multiple priorities, dependencies, and timelines; resolve risks and issues rapidly; track impact and return on investment of analytics outputs.
• AI enablement: Introduce and govern the use of AI and ML-enabled analytics to enhance requirements capture, insight generation, and process optimization.
• Communication: Create and deliver concise narratives and exec-ready materials; ensure insights are actionable and embedded in decision-making.
• Regional collaboration: Operate effectively across markets and functions; support travel needs and on-the-ground stakeholder engagement as required.

Essential skills/Experience

• Leadership experience: 5+ years supervising analytics/consultant teams and coordinating cross-functional delivery in pharma/biotech or related industries.
• People development: Demonstrated coaching and mentoring capability, including performance feedback, skills-building, and career progression support.
• Stakeholder management: Strong communication skills with the ability to simplify complex analyses into clear, actionable recommendations.
• Technical toolkit: Proficiency with Power BI, Excel, and SQL; Snowflake preferred; familiarity with Python and/or VBA is a plus.
• Quality and governance: Rigorous approach to data quality, standards, and documentation; proven track record to prioritise and deadlines.
• Language and travel: Fluency in English and Spanish; additional languages are a plus. Willingness to travel up to 10-15%.

Desirable skills/Experience

• Advanced education or equivalent experience: Master’s or PhD in a quantitative field (Statistics, Economics, Industrial Engineering, Biotechnology).
• AI proficiency: Ability to use AI tools (e.g., generative AI, machine learning–enabled analytics) to enhance analysis and process efficiency.
• Industry nuance: Experience with commercial pharma/biotech datasets, metrics, and operating models across multiple countries or regions.

When we put unexpected teams in the same room, we unleash bold thinking with the power toinspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challengeperceptions. That's why we work, on average, a minimum of three days per week from the office. But thatdoesn'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:

Here, you will collaborate with expert colleagues who unite around a clear purpose: using data and insight to open doors for therapies that transform lives. We bring unexpected teams together to tackle hard problems, pairing cutting-edge tools with a culture that values kindness alongside ambition. You will feel close to the impact of your work—seeing how sharper analytics translate into faster access and stronger patient outcomes—while benefiting from the scale and support to grow your craft and shape what comes next.

Bring your expertise to this mission and tell us how you would accelerate decision-ready insight from day one.

Date Posted

18-Feb-2026

Closing Date

06-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.

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 authorisation and employment eligibility verification requirements.