Principal Analyst — Commercial Analytics

Overview

Senior individual-contributor role leading the most complex, high-visibility commercial analytics workstreams for Takeda's GCC Commercial Insights & Analytics organization in India, acting as subject-matter expert and technical authority.

What you'll do

• Own and independently deliver the most complex, high-visibility analytical workstreams that shape global brand strategy, performance management, and commercial execution.
• Serve as SME across pharmaceutical commercial data sources, including patient-level claims, EMR, specialty pharmacy, and sales data across multiple markets.
• Define and lead design of patient journey analyses, HCP segmentation models, performance deep-dives, and competitive assessments.
• Lead end-to-end delivery of complex performance analytics producing reports and dashboards tracking brand KPIs such as patient shares, new starts, source of business, adherence, and HCP engagement.
• Integrate and analyze diverse commercial data sources, including real-world data, specialty pharmacy data, sales data, and channel data.
• Define and govern business rules for processing raw patient-level data.
• Drive advanced exploratory data analysis and opportunity prospecting.
• Own the most complex custom reporting and ad hoc analysis requests.
• Set the standard for patient and HCP cohorts built on deterministic logic, and lead advanced cohort and segmentation approaches including cluster and probabilistic models.
• Perform ETL and define reusable patterns to structure raw data into analysis-ready datasets; design and orchestrate data pipelines.
• Lead automation of recurring reporting and analytical workflows.
• Design and govern Tableau or Power BI dashboards and set visualization best practices.
• Establish, standardize, and govern KPIs and metrics across global markets, regions, and channels.
• Partner with GCC Managers and global I&A brand leads to clarify requirements, shape deliverable scope, and communicate progress and implications.
• Synthesize findings into decision-oriented analytical stories with clear recommendations.
• Formally mentor Analyst and Senior Analyst colleagues.
• Lead team knowledge management, including analytical methods, data source guides, design patterns, and reusable query libraries.

What you'll need

• Bachelor's Degree in Statistics, Data Science, Life Sciences, Computer Science, or a related quantitative field.
• 5–6 years of progressive quantitative analytical experience in pharmaceutical commercial analytics or healthcare analytics, with a track record of independently owning and leading complex analytical deliverables.
• Deep working knowledge of pharma commercial datasets across markets: patient-level claims (e.g., IQVIA, Komodo Health, Symphony Health), specialty pharmacy, EMR, and sales data.
• Advanced proficiency in SQL, SAS, R, or Python for data manipulation and workflow automation; advanced Excel skills.
• Familiarity with API programming to acquire data via formal APIs.
• Familiarity with using GenAI tools (e.g., Claude Code) as a coding partner.
• Expert-level experience with Tableau or Power BI for performance and brand analytics dashboards, including design and governance standards.
• Working knowledge of Databricks or cloud-based analytics platforms.

Nice to have

• Master's degree or MBA in a relevant analytical or business field.
• Hands-on experience with data beyond claims, including lab data, EMR/EHR, medical and regulatory coding systems (e.g., ICD, procedure/reimbursement codes), public datasets (government and financial), and research literature sources such as Citeline and PubMed.
• Experience supporting global or regional brand teams or cross-functional analytics programs.

Details

• Location: Bengaluru, India.
• Work mode: Hybrid.
• Employment type: Full time, Regular employee.