Senior Analyst - Commercial Analytics

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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 US 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 US brand strategy, performance management, and commercial execution across assigned brands and indications.
• Apply advanced proficiency in US pharmaceutical commercial data sources — including patient-level claims, EMR, specialty pharmacy, and sales data — 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 US 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 — at national and subnational levels.
• Integrate and analyze diverse US commercial data sources — including real-world data (claims, EMR), 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.
• Lead custom reporting and complex ad hoc analysis requests with independent hypothesis formulation, rigorous methodology, and well-documented, insight-rich outputs.

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 US 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 national and subnational geographies and payer channel types.
• Proactively identify opportunities to automate and scale recurring reporting workflows using SQL, Python, or Databricks, reducing manual effort and improving analytical reproducibility.

Stakeholder Collaboration and Communication

• Partner with GCC Managers and US 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 US 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 US pharmaceutical commercial analytics or healthcare analytics, with demonstrated independent ownership of analytical deliverables.
• Deep working knowledge of US pharma commercial datasets: patient-level claims (IQVIA, Komodo Health, Symphony Health), specialty pharmacy (867), EMR, and sales data is required.
• Proficiency in coding techniques such as SQL, SAS, R, or Python for data manipulation and workflow automation; advanced Excel skills required.
• Strong experience with Tableau or Power BI for performance and brand analytics dashboard development.
• Exposure to Databricks or cloud-based analytics platforms is preferred.
• Experience supporting US brand teams or cross-functional analytics programs is strongly preferred.

Skills & Competencies:

• Advanced US Commercial Data Analysis — Independently designs and executes complex analyses using multi-source US pharma commercial datasets; interprets results with strong domain context.
• Data Storytelling — Translates complex findings from multiple data sources into executive-ready narratives with explicit business implications and clear recommendations.
• Technical Proficiency — Advanced SQL; working Python/R; Tableau/Power BI; growing fluency in Databricks or cloud platforms.
• Stakeholder Communication — Communicates analytical findings persuasively to US I&A leads and cross-functional partners; adapts framing to both technical and commercial audiences.
• Automation and Efficiency — Proactively identifies and implements workflow improvements using code, pipelines, or process redesign.
• Informal Mentorship — Provides practical guidance to junior analysts on analytical techniques, data interpretation, and quality standards.
• Problem-Solving — Frames ambiguous business questions into structured hypotheses; comfortable navigating complexity and data limitations.

TAKEDA LEADERSHIP BEHAVIORS

In alignment with Takeda's Values-Based Culture, this role requires demonstration of the following leadership behaviors:

• Act with Integrity — Deliver accurate, transparent work and take full responsibility for quality.
• Collaborate Cross-Functionally — Contribute positively to GCC-US team workflows and cross-functional collaboration.
• Drive Accountability — Take ownership of all assigned tasks and deliver on commitments.
• Embrace Learning — Continuously build analytical and domain capabilities through feedback and self-driven development.