Data Analytics Specialist, Commercial Insights

Are you ready to turn complex commercial data into decisive action across the EUCAN & International region? In this role, you will shape the analytics that guide strategy, execution, and performance in markets where every insight matters for patients and the business.

You will partner with Commercial Insights and Advanced Analytics teams to select the right methods, connect diverse datasets, and build evidence that informs high-stakes decisions. Your work will clarify what drives growth, where barriers exist, and how we can act with confidence. What could your analyses reveal that changes the course of a therapy’s impact?

Accountabilities

• Analytical execution: Conduct thorough analyses of sales, multichannel activity and testing data to identify drivers, barriers and trends; synthesize disparate sources when centralized data is unavailable.
• Data integration: Leverage internal and external, primary and secondary data to deliver a comprehensive market view that validates trends and strengthens strategic insights.
• Business partnering: Collaborate with EUCAN+INTL Commercial Insights to frame business questions and define analytic plans with clear timelines and deliverables.
• Advanced analytics enablement: Work with EUCAN+INTL Advanced Analytics to define best-in-class data processes; evaluate models and perform statistical tests to ensure evidence-based outputs.
• Automation and reporting: Automate analytics and insight generation (Python, VBA, SQL); lead development and deployment of regional reports and future-proof data models.
• Forecasting and modeling: Lead forecasting initiatives and build models to anticipate future trends; translate outputs into concise, actionable takeaways for leadership.
• Data quality and governance: Ensure accuracy and consistency; proactively identify data gaps and partner to implement solutions that strengthen the data foundation.
• Communication and visualization: Create stakeholder-friendly presentations and dashboards; act as a technical bridge to align on data definitions and analytical outputs.
• Operational excellence: Respond to ad hoc requests with urgency and quality; maintain compliance with Alexion and industry standards; remain flexible as priorities evolve; promote standards in data science.

Essential skills/Experience

• Industry background: Minimum 2 years’ analytics/consulting experience in pharmaceuticals; specialty/orphan biotech strongly preferred.
• Advanced analytics: Proven ability in quantitative modeling and advanced analytics to solve commercial problems; experience evaluating models and applying statistical tests.
• Data engineering/SQL: Proficiency querying structured databases with SQL; familiarity with Snowflake preferred; deep understanding of data structures and pipelines.
• Tools and automation: Advanced Excel, PowerPoint, Power BI; experience with VBA or other programming languages; ability to automate analyses and reporting.
• Insight generation: Strong problem-solving skills to analyze large datasets, identify patterns and extract actionable insights; ability to craft clear, concise narratives.
• Stakeholder collaboration: Demonstrated effectiveness in cross-functional, international teams; strong interpersonal skills and a proactive, “can‑do” approach.
• Project delivery: Ability to manage multiple projects with clear plans and timelines; respond swiftly to ad hoc needs without compromising accuracy.
• Quality focus: Meticulous approach to data accuracy, validation and QA; consistent documentation and adherence to compliant practices.
• Communication: Strong written and oral presentation skills; fluency in English and Spanish is required; additional languages are a plus.
• Mobility: Willingness to travel up to ~10%.

Desirable skills/Experience

• Platform expertise: Experience with Snowflake and next‑generation data platforms; familiarity with commercial pharma data sources and structures.
• Rare disease exposure: Experience in biotech, specialty care and/or orphan drugs; understanding of Alexion’s therapeutic areas and business model.
• AI proficiency: Ability to use AI tools (e.g., generative AI, ML-enabled analytics) for requirements analysis, insight generation and process optimization.
• Change enablement: Experience building future-ready data models, scaling reporting across regions and formalizing standards in data science.
• Multimarket experience: History of working across EUCAN and international markets, aligning on data definitions and ensuring consistency at scale.

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:

Here, the work connects directly to people facing rare and devastating diseases, and your analytics will help shape decisions that reach them faster. You will thrive in an entrepreneurial environment with the backing of a global leader, where unexpected teams come together to spark bold thinking and turn complex data into clarity. We value kindness alongside ambition, equipping you with cutting-edge tools, supportive peers, and the autonomy to own outcomes—all while building a career defined by impact.

If you are ready to turn analysis into action and elevate commercial decisions across regions, take the next step and join us to create insights that matter!

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.