Senior Analyst — Commercial Analytics

Takeda; Bengaluru; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

You will develop patient/HCP segmentation, automate reporting, build dashboards in Tableau/Power BI, and mentor junior analysts while collaborating with global brand leads and partners.

Qualifications

• Bachelor’s degree in a quantitative field; Master’s/MBA preferred.
• 4–5 years in pharma/commercial analytics or healthcare analytics with independent ownership of deliverables.
• Experience with multi-source pharma data (claims, EMR, sales) across markets.
• Proficient coding in SQL, SAS, R, or Python and advanced Excel skills.
• Experience with Tableau or Power BI for dashboards; API usage is a plus.

Responsibilities

• Own end-to-end analytics workstreams informing brand strategy and performance across markets.
• Analyze diverse data sources to deliver decision-ready insights with business implications.
• Develop cohorts and segmentation for targeting and micro-segmentation.
• Build and automate data pipelines and reusable query libraries for recurring reports.
• Create executive-ready stories and dashboards for global stakeholders.

Skills

Data Analysis

SQL

Python / R

Tableau / Power BI

ETL

Data storytelling

Stakeholder communication

Education

Bachelor's Degree

Master's or MBA

Tools

SAS

Python

R

Tableau

Power BI

Databricks

Job description

Job Description

OBJECTIVES / PURPOSE

We are seeking a strong Senior Analyst to join Takeda's GCC Commercial Insights & Analytics (I&A) organization in India. This role carries significant individual analytical ownership, bridging execution-level work with emerging stakeholder-facing responsibilities. The Senior Analyst is a critical analytical contributor who drives the quality and depth of insights delivered to global brand teams and begins to shape the analytical direction of assigned workstreams.

• Own and independently deliver a portfolio of mid-to-high complexity analytical workstreams that directly inform global brand strategy, performance management, and commercial execution across assigned brands and indications.
• Apply advanced proficiency across pharmaceutical commercial data sources — including patient-level claims, EMR, specialty pharmacy, and sales data across multiple markets — and analytics tools to generate decision-ready insights with clear business implications.
• Design and execute patient journey analyses, HCP segmentation models, performance deep-dives, and competitive assessments that provide actionable, evidence-based recommendations to global I&A brand leads and commercial partners.
• Serve as an emerging analytical thought leader within the GCC team — contributing to methodology development, analytical best practices, and the informal mentoring of Analyst colleagues.

ACCOUNTABILITIES

Brand Analytics and Insight Generation

• Own end-to-end delivery of assigned performance analytics workstreams, producing reports and dashboards that track brand KPIs — including patient shares, new starts, source of business, adherence, and HCP engagement — across global, regional, and country levels.
• Integrate and analyze diverse commercial data sources across markets — including real-world data (claims, EMR/EHR, lab data), specialty pharmacy data, sales data, and channel data — to generate comprehensive patient and HCP insights that support brand strategy and launch readiness.
• Develop and maintain business rules for processing raw patient-level data, leveraging a deep understanding of data nuances, commercial context, and market knowledge to ensure analytical accuracy and consistency.
• Conduct advanced, self-directed exploratory data analysis (EDA) and opportunity prospecting — moving beyond basic pulls (counts, topline, segmentation, time trends) to surface non-obvious commercial opportunities and hypotheses.
• Lead custom reporting and complex ad hoc analysis requests with independent hypothesis formulation, rigorous methodology, and well-documented, insight-rich outputs.

Patient / HCP Cohort Development and Segmentation

• Build and maintain patient and HCP cohorts using standard business rules and deterministic logic, ensuring definitions are clinically sound, reproducible, and aligned with brand and indication requirements.
• Develop advanced cohort and segmentation approaches — including cluster and probabilistic models — to support more sophisticated patient/HCP targeting, prioritization, and micro-segmentation for global brand teams.

Data Operation and Automation

• Perform basic ETL to acquire, clean, transform, and structure raw data from multiple sources into analysis-ready datasets.
• Develop and help orchestrate data pipelines that support recurring analytics and reporting, improving reliability, scalability, and reproducibility of team deliverables.
• Proactively identify and implement opportunities to automate and scale recurring reporting and analytical workflows, improving efficiency and reproducibility.

Data Visualization and Reporting Excellence

• Design and maintain Tableau or Power BI dashboards and reporting tools that clearly communicate brand performance trends, patient funnel dynamics, and field force activity to global stakeholders.
• Establish KPIs and metrics — including patient shares, duration of therapy (DoT), adherence rates, source of business, and campaign effectiveness — and monitor their performance across global markets, regions, and channels.

Stakeholder Collaboration and Communication

• Partner with GCC Managers and global I&A brand leads to clarify analytical requirements, align on deliverable scope, and communicate progress proactively.
• Synthesize findings from multiple data sources into cohesive, decision-oriented analytical stories with clear “so what” implications and actionable recommendations tailored to global brand and commercial audiences.
• Provide informal mentoring and quality guidance to Analyst I and Analyst II colleagues, reviewing their outputs, explaining methodological choices, and supporting their professional development.
• Contribute to team knowledge management by documenting analytical methods, data source guides, and reusable query libraries.

KNOWLEDGE, SKILLS & EXPERIENCE

Education:

• Bachelor's Degree required in Statistics, Data Science, Life Sciences, Computer Science, or a related quantitative field.
• Master's degree or MBA in a relevant analytical or business field is strongly preferred.

Experience:

• 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 is required.
• Hands‑on experience with data beyond claims is strongly preferred, including lab data, EMR/EHR, medical and regulatory coding systems (e.g., ICD, procedure/reimbursement codes), public datasets (e.g., government and financial), and research literature sources such as Citeline and PubMed.
• Proficiency in coding techniques such as SQL, SAS, R, or Python for data manipulation and workflow automation; advanced Excel skills required.
• Familiarity with API programming to acquire data via formal APIs, and with using GenAI tools (e.g., Claude Code) as a coding partner to accelerate analytical work.
• Strong experience with Tableau or Power BI for performance and brand analytics dashboard development.
• Working knowledge of Databricks or cloud-based analytics platforms.
• Experience supporting global or regional brand teams or cross‑functional analytics programs is strongly preferred.

Skills & Competencies:

• Advanced Commercial Data Analysis — Independently designs and executes complex analyses using multi‑source, multi‑market pharma commercial datasets; interprets results with strong domain context.
• Data Pulls & Exploration — Progresses from basic data pulls (counts, top‑line, segmentation, time) to advanced, self‑directed EDA and opportunity prospecting.
• Coherent Development & Segmentation — Builds deterministic, business‑rule‑based cohorts and advances toward probabilistic and cluster‑model approaches for patient/HCP targeting.
• Data Operations — Performs basic ETL and develops/orchestrates pipelines to produce reproducible, analysis-ready data.
• Technical Proficiency — Advanced SQL; working Python/R; API programming for data acquisition; uses GenAI as a coding partner; growing fluency in Databricks or cloud platforms.
• Data Storytelling — Translates complex findings from multiple data sources into executive‑ready narratives with explicit business implications and clear recommendations.
• Stakeholder Communication — Communicates analytical findings pers