Senior Analyst - Commercial Pharma Analytics

Overview

A hands-on internal consultant role supporting a specific brand team, ensuring the data behind commercial analytics is accurate, consistent and fit for purpose, and delivering advanced analytics for segmentation and targeting, patient opportunity identification, return on investment analyses and market simulations.

What you'll do

• Define, implement and continuously improve data quality frameworks, standards and controls for syndicated, custom and longitudinal datasets used for brand analytics.
• Design, build and validate predictive and prescriptive analytical solutions, ensuring data lineage, reproducibility and model transparency.
• Lead the integration, harmonization and quality assurance of claims, EMR and other patient-level data to unlock reliable insights across patient journeys and market dynamics.
• Develop and operationalize high-quality customer segmentation and targeting approaches, linking data quality checks to downstream field effectiveness and resource allocation.
• Drive test-and-learn designs, return on investment analyses and performance measurement, embedding controls to reduce bias.
• Translate data into actionable simulations and patient flow models, ensuring inputs and assumptions meet defined quality thresholds.
• Partner with cross-functional leaders to identify business questions, prioritize enhancements, and embed new analytic capabilities and quality practices.
• Champion modern platforms and methods, and mentor colleagues in advanced analytics and data engineering guidelines.
• Monitor advances in analytics and data engineering within and beyond pharma, piloting relevant techniques and technologies.
• Uphold the highest standards of ethics, compliance and transparency in all data and analytics activities, including responsible use of patient-level and commercial data.

What you'll need

• Bachelor's degree or equivalent experience from an accredited college or university in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science, or a related field.
• 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.
• 5+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
• 4+ years of recent experience and proficiency with PySpark, Python, R, SQL.
• Working knowledge of platforms like Databricks.
• Experience in MS Office products, Excel and PowerPoint skills.
• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
• Experience with IQVIA data sets.
• Ability to derive, summarize and communicate insights from analyses.
• Organization and time management skills.
• Expertise in managing and analyzing a range of large, secondary transactional databases.
• Statistical analysis and modelling background, including Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
• Data Mining, Predictive Modelling and Machine Learning algorithms.
• Optimization and Simulation.

Nice to have

• An advanced degree (Master's, MBA or PhD).
• Working knowledge of data visualization tools such as PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar.
• Machine learning experience.
• Strong leadership and interpersonal skills, with demonstrated ability to work collaboratively with business leaders and cross-functional partners.
• Strong communication and influencing skills, with the ability to develop and present succinct, compelling reviews of independently developed analyses with business implications.
• Strategic and critical thinking, with the ability to build and maintain credibility with Commercial Leadership Team.
• Strong organizational skills and time management, with the ability to manage a diverse range of simultaneous projects.
• Knowledge of AZ brand and Science (Oncology in particular).
• Experience using Big Data.
• Exposure to SPARK.
• Excellent analytical and problem solving ability.
• Ability to grasp new concepts quickly.

Details

• Location: Chennai, India.
• Work mode: in-person, a minimum of three days per week from the office.
• Career level: D1.