Principal Analyst — Dashboarding & Commercial Analytics

Overview

Takeda is seeking a Principal Analyst to serve as a dual expert in Tableau dashboarding and commercial analytics within its GCC Commercial Insights & Analytics organization in India. This senior individual-contributor role designs, builds and scales enterprise-grade reporting and dashboards and independently leads complex commercial analytics workstreams that inform global brand strategy.

What you'll do

• Architect, build and maintain enterprise-grade Tableau dashboards that communicate brand performance, patient journey dynamics, HCP engagement and field force activity to global stakeholders.
• Define, implement and enforce UI/visualization best practices and design standards (layout, color, accessibility, interactivity, storytelling).
• Build self-service reporting frameworks and templates that reduce ad hoc requests.
• Establish, standardize and govern KPIs and metrics (brand performance, patient shares, new starts, duration of therapy, adherence, source of business, campaign effectiveness) across global markets, regions and channels.
• Optimize data models, data extracts and refresh pipelines feeding dashboards to ensure accuracy, reliability and performance at scale.
• Lead end-to-end delivery of the most complex performance analytics workstreams tracking brand KPIs at global, regional and country levels.
• Integrate and analyze diverse commercial data sources across markets (real-world data, specialty pharmacy, sales and channel data) to generate patient and HCP insights supporting brand strategy and launch readiness.
• Drive advanced, self-directed exploratory data analysis and opportunity prospecting to surface non-obvious commercial opportunities and hypotheses.
• Own the most complex custom reporting and ad hoc requests with independent hypothesis formulation, rigorous methodology and well-documented outputs.
• 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 design and orchestrate reproducible data pipelines feeding reporting products; automate recurring workflows using SQL, Python or R, API programming and GenAI tools.
• Partner with GCC Managers and global I&A brand leads to clarify requirements, align on scope and synthesize findings into decision-oriented visual stories with clear recommendations.
• Formally mentor Analysts and Senior Analysts on Tableau, visualization design and analytical methods, and lead team knowledge management.

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 significant portion focused on commercial analytics and reporting, BI and data visualization.
• Expert-level, hands-on Tableau experience (Tableau Desktop and Server/Cloud) building and governing enterprise-scale dashboards.
• 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.
• Familiarity with API programming and GenAI (e.g., Claude Code) as a coding partner.
• Intangible skills: curiosity, confidence, reflective, high risk tolerance, organized, high command of written and spoken English.

Nice to have

• Master's degree or MBA.
• Tableau certification.
• Working knowledge of Power BI.
• Hands-on experience with data beyond claims: lab data, EMR/EHR, medical and regulatory coding systems (e.g., ICD, procedure/reimbursement codes), public datasets and research literature (Citeline, PubMed).
• Working knowledge of Databricks or cloud platforms.
• Experience supporting global or regional brand teams or cross-functional analytics programs.

Details

• Location: Bengaluru, India.
• Hybrid working.
• Full-time, regular employee.