Senior Analyst - Commercial Pharma Analytics

Overview

Serve as a trusted analytics partner to oncology brand teams, using advanced analytics to focus resources, sharpen go-to-market choices and improve patient and HCP outcomes.

What you'll do

• Serve as a trusted analytics partner to assigned Brand teams, translating ambiguous business questions into clear analytical approaches aligned to commercial objectives and patient impact.
• Deliver opportunity assessments, segmentation and targeting, healthcare provider and patient analytics, marketing mix and return on investment analysis, market simulation, and patient flow modeling that inform strategic and tactical decisions.
• Build production-ready analytics in Python and SQL (and PySpark where relevant).
• Apply statistical analysis, predictive modeling, time series, regression and econometrics, Bayesian methods, and appropriate machine learning to solve high-value problems.
• Engage with large, longitudinal healthcare datasets, including insurance records, electronic medical and health records, prescriptions, and patient-level sources (e.g., IQVIA).
• Ensure assumptions are strong and outputs reproducible.
• Leverage Databricks and modern data environments to create scalable, reusable analytical assets.
• Champion guidelines in coding, version control, documentation, and efficiency, including AI-assisted development and automation.
• Work with cross-functional team members across Marketing, Medical, Market Access, Sales, Forecasting, and US Sales Force Operations.
• Manage multiple priorities and deliver clear recommendations through concise storytelling and business framing.
• Synthesize complex analyses into compelling insights for senior leadership via decks, dashboards, and executive updates.
• Contribute to a culture of continuous improvement, innovation, and analytical excellence.

What you'll need

• Bachelor's degree or equivalent experience in a quantitative field such as Engineering, Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Operations Research or related field.
• 7–11 years of relevant experience in Pharmaceutical / Biotech / Healthcare analytics.
• Strong experience working with secondary healthcare data (claims, EMR/EHR, patient-level datasets).
• Demonstrated experience delivering commercial analytics with business impact.
• Strong hands-on experience with Python, R, SQL (PySpark preferred).
• Databricks or analytics platforms.
• Data visualization experience with tools such as Power BI, Tableau, MicroStrategy, QlikView (or similar).
• Advanced Excel and PowerPoint skills for executive communication.
• Expertise in statistical analysis, modelling, and data mining.
• Experience with IQVIA or similar syndicated data sources.
• Strong analytical capability.
• Ability to translate data into actionable insights.
• Excellent communication skills.
• Ability to manage multiple projects in a fast-paced environment.

Nice to have

• Advanced degree (Master's / MBA / PhD) or equivalent experience.
• Experience in Oncology analytics or strong understanding of patient pathways and treatment landscapes.
• Exposure to machine learning, optimization, and simulation techniques.
• Experience with Big Data / Spark-based environments.
• Proven ability to lead analytics initiatives and influence senior commercial collaborators.
• Strong strategic insight with the ability to link analytics to brand and business strategy.

Details

• Location: Chennai or Bangalore, India.
• In-person working: a minimum of three days per week from the office.