Senior Analyst — Commercial Analytics

Overview

Senior Analyst in Takeda's GCC Commercial Insights & Analytics (I&A) organization in India. The role carries significant individual analytical ownership, bridging execution-level work with stakeholder-facing responsibilities and shaping the analytical direction of assigned workstreams.

What you'll do

• Own and independently deliver a portfolio of mid-to-high complexity analytical workstreams that inform global brand strategy, performance management, and commercial execution.
• Apply advanced proficiency across pharmaceutical commercial data sources, including patient-level claims, EMR, specialty pharmacy, and sales data across multiple markets.
• Design and execute patient journey analyses, HCP segmentation models, performance deep-dives, and competitive assessments that provide evidence-based recommendations to global I&A brand leads and commercial partners.
• Contribute to methodology development, analytical best practices, and informal mentoring of Analyst colleagues.
• Own end-to-end delivery of performance analytics workstreams, producing reports and dashboards tracking brand KPIs (patient shares, new starts, source of business, adherence, HCP engagement) at global, regional, and country levels.
• Integrate and analyze real-world data (claims, EMR/EHR, lab data), specialty pharmacy data, sales data, and channel data to generate patient and HCP insights supporting brand strategy and launch readiness.
• Develop and maintain business rules for processing raw patient-level data, ensuring analytical accuracy and consistency.
• Conduct advanced, self-directed exploratory data analysis and opportunity prospecting, surfacing non-obvious commercial opportunities and hypotheses.
• Lead custom reporting and complex ad hoc analysis requests with independent hypothesis formulation and well-documented outputs.
• Build and maintain patient and HCP cohorts using standard business rules and deterministic logic.
• Develop advanced cohort and segmentation approaches, including cluster and probabilistic models, for patient/HCP targeting, prioritization, and micro-segmentation.
• Perform basic ETL to acquire, clean, transform, and structure raw data into analysis-ready datasets.
• Develop and help orchestrate data pipelines supporting recurring analytics and reporting.
• Identify and implement opportunities to automate and scale recurring reporting and analytical workflows.
• Design and maintain Tableau or Power BI dashboards communicating brand performance trends, patient funnel dynamics, and field force activity.
• Establish and monitor KPIs and metrics, including patient shares, duration of therapy (DoT), adherence rates, source of business, and campaign effectiveness, across markets, regions, and channels.
• Partner with GCC Managers and global I&A brand leads to clarify analytical requirements, align on deliverable scope, and communicate progress.
• Synthesize findings from multiple data sources into decision-oriented analytical stories with clear implications and actionable recommendations.
• Provide informal mentoring and quality guidance to Analyst I and Analyst II colleagues.
• Contribute to team knowledge management by documenting analytical methods, data source guides, and reusable query libraries.

What you'll need

• Bachelor's Degree required in Statistics, Data Science, Life Sciences, Computer Science, or a related quantitative field.
• 4–5 years of experience in pharmaceutical commercial analytics or healthcare analytics, with demonstrated independent ownership of 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.
• Proficiency in coding techniques such as SQL, SAS, R, or Python for data manipulation and workflow automation.
• Advanced Excel skills.
• Strong experience with Tableau or Power BI for performance and brand analytics dashboard development.
• Advanced SQL; working Python/R; API programming for data acquisition.
• Data Storytelling: translating complex multi-source findings into executive-ready narratives with explicit business implications.
• Stakeholder Communication: communicating analytical findings persuasively to global I&A leads and cross-functional partners.
• High command of written and spoken English.

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.
• Familiarity with API programming to acquire data via formal APIs, and with using GenAI tools (e.g., Claude Code) as a coding partner.
• Working knowledge of Databricks or cloud-based analytics platforms.
• Experience supporting global or regional brand teams or cross-functional analytics programs.

Details

• Location: Bengaluru, India.
• Employment type: Full time, regular employee.