Analyst - Commercial Pharma Analytics

• Commercial Decision Support: Provide rigorous analytics to guide brand strategy and resourcing decisions, focusing on customer-facing model leadership and measurable business impact.
• Segmentation and Targeting: Build and implement HCP and patient grouping and selection approaches; identify high-value opportunities to improve coverage, conversion, and growth.
• Predictive and Prescriptive Analytics: Build, test, and operationalize models using syndicated and custom, primary and secondary data (including IQVIA) to inform decisions and actions.
• Experimentation and Simulation: Lead smart business experiments (test and learn), market analysis simulations, and patient movement modelling to de-risk decisions and accelerate learning.
• Data Access and Integration: Access and integrate large, transactional datasets via platforms and tools such as DataBricks, PySpark, Python, R, and SQL; ensure quality and reproducibility.
• Insight Communication: Summarize and present findings through clear narratives, visualizations, and concise recommendations that influence senior collaborators and drive action.
• Capability Building: Identify, prioritize, and lead the development, deployment, and embedding of new analytic capabilities; instill a culture of continuous improvement.
• Partnership and Influence: Build trusted relationships with cross-functional partners; translate technical solutions into business value and shared outcomes.
• External Scanning: Monitor the external analytics landscape within and beyond pharma; evaluate and adapt leading methods and technologies for practical use inside the organization.

• A quantitative Bachelor's degree or equivalent experience from an accredited college or university is required. It must be in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science, or a related field. An advanced degree is preferred (Master's, MBA or PhD).
• 3+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
• 3+ years of recent experience and proficiency with PySpark, Python, R, SQL.
• Working knowledge of data visualization - PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools.
• Working knowledge on platforms like DataBricks.
• Experience with IQVIA data sets.
• Experience in MS Office products - Excel and PowerPoint skills required.
• Expertise in managing and analyzing a range of large, transactional databases is required.
• Statistical analysis and modelling background is advantageous
• ML a plus
• Ability to derive, summarize and communicate insights from analyses.
• Organization and time management skills.

• Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
• Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
• Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team.
• Knowledge of AZ brand and Science (Oncology in particular).
• Experience using Big Data, is a plus. Exposure to SPARK is desirable.
• Should have Excellent Analytical, Problem-Solving ability. Should be able to grasp new concepts quickly

When we put unexpected teams in the same room, we unleash bold ideas fueled by the power to encourage 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.