Senior Analyst - Commercial Analytics

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. 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 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 — Provide