Senior Analyst - Commercial Pharma Analytics

Overview

Serve as a hands-on internal consultant to a specific brand team, ensuring the data that fuels commercial analytics is accurate, consistent and fit for purpose, and turning it into analytical solutions for brand strategy.

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.
• Develop and operationalize 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 market 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, with 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

• 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 ability to work collaboratively with business leaders and cross-functional partners.
• Strong communication and influencing skills, with ability to present succinct, compelling reviews of independently developed analyses with business implications.
• Strategic and critical thinking, with ability to build and maintain credibility with Commercial Leadership Team.
• Strong organizational skills and time management; ability to manage diverse 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.