GCL: C2
Introduction to thte role
Serve as the analytical expert for global brand teams, delivering actionable insights that shape strategic and operational decisions. Acting as a hands-on consultant, this role designs and implements commercial analytics solutions, using both syndicated and custom data for descriptive, predictive and prescriptive analysis. Day to day, this includes data procurement, development of advanced analytics for business opportunity assessments, customer segmentation and targeting, return on investment and resource allocation analyses, market simulations, and patient flow modeling. Working closely with Global/US Insights, Analytics & Forecasting, as well as Global Marketing and Market Access teams, this position helps influence key business outcomes and unlocks new opportunities to move the needle for patients and the business.
Drive end-to-end commercial analytics projects that inform global brand strategy, from problem framing and data sourcing through to insight generation and recommendation.
Leverage global pharma data sources such as IQVIA MIDAS, Evaluate Pharma, Clarivate, Oracle and RWE assets to build robust market views and opportunity assessments.
Apply advanced analytical techniques to support customer segmentation, targeting, forecasting inputs, resource allocation and scenario planning.
Develop and maintain dashboards and visualizations in tools such as PowerBI to enable rapid decision-making across markets and functions.
Translate complex analyses into clear, concise narratives and executive-ready presentations that influence senior collaborators.
Partner with cross-functional teams to embed insights into brand planning, launch excellence, pricing and market access strategies.
Continuously experiment with new methods, AI tools and data assets to enhance analytical impact and speed of delivery.
Promote knowledge sharing across the analytics community, standardizing procedures and encouraging re-use of scalable solutions.
Monitor external trends in analytics, data science and healthcare to anticipate future needs and propose innovative ways.
Champion an entrepreneurial perspective by spotting opportunities, taking balanced risks and challenging existing ways of working.
Quantitative bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. A Masters or equivalent degree is preferred
Strong technical skills with MS Office (Excel and PowerPoint), PowerBI, SQL, PySpark, Python and AI tools (ChatGPT, etc.)
Strong written and oral English communication skills and collaborator management skills, with evidence of synthesizing and articulating complex data / analyses into understandable and impactful presentations
Must be comfortable operating in a fast-paced environment where answers are expected quickly, building self-credibility, managing expectations, and driving outcomes
Knowledge of US and ex-US (focus on EU4, UK, Japan, China) pharmaceutical market size/value and volume (prescriptions, units), brand and indication vs. molecule performance by country/region (pricing and reimbursement, launch timelines and regulatory landmarks
Must have excellent analytical, independent problem-solving ability and able to grasp new concepts quickly
Actively engages in discussions, clarifies information, and advocates the team’s point of view
Good experience in applying statistical procedures on large and disparate datasets including foundational level knowledge in regression, Bayesian methods, data mining, optimization, and simulation
Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient-level data sets
Ability to quickly derive, summarize and communicate insights from analyses.
Exceptional communication, leadership, and influencing skills, with a proven ability to deliver insightful analyses and executive-level presentations
Demonstrated proficiency in written and verbal English, including effective remote collaborator engagement across diverse geographies and cultures, as well as synthesizing findings for executive-level presentations
Expertise in managing and analyzing a range of large, secondary transactional databases is required.
Knowledge of AZ brands and related science
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.
AstraZeneca offers the chance to join a high-performing globally distributed team that uses data, digital innovation and enterprise thinking to solve real problems for patients every day. Here, analytical expertise directly shapes how science reaches people worldwide, with ainnovativeting-edge tools, diverse datasets and complex challenges that stretch skills and accelerate growth. Collaboration is genuine, ideas are heard, smart risks are encouraged, and there is clear visibility of how each project contributes to meaningful change in healthcare.
Ready to ignite your analytical talent and spirits to help move the needle for patients and the business? Apply now.
Date Posted
05-May-2026Closing Date
08-May-2026AstraZeneca 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.