06 Aug
|
Takeda Pharma Vertrieb
|
Bengaluru
06 Aug
Takeda Pharma Vertrieb
Bengaluru
OBJECTIVES / PURPOSE
We are seeking a forecasting-oriented Senior Analyst to join Takeda's GCC Commercial Analytics & Insights (CA&I;) organization in India as part of the Forecasting capability supporting International Business Units (IBU). This individual contributor role is responsible for building, maintaining, and evolving multiple forecast types across Ex-US markets, including short-term in-market demand forecasts, long-term strategic forecasts, patient-based epidemiology forecasts, and launch and event scenarios in partnership with affiliate forecasting leads. The Senior Analyst is accountable for forecast model integrity, assumption discipline, and the business relevance of outputs delivered into brand planning, S&OP;, and portfolio cycles.
ACCOUNTABILITIES
- Forecast Model Development and Delivery: Build and maintain a portfolio of forecasts across multiple IBU markets and brands, spanning short-term tactical forecasts (24-36 months), long-term strategic forecasts (10+ years), in-line product forecasts, and pre-launch and launch forecasts.
- Apply the appropriate forecast methodology to each business question, including patient-based (epidemiology, prevalence, incidence, treatment flow, persistence, compliance, share) approaches, demand-based (trend, time-series, curve fitting, regression, exponential smoothing) approaches, and hybrid models that integrate both.
- Conduct scenario and sensitivity analyses for market events, competitive entries, LOEs, pricing changes, indication expansions, and access scenarios across IBU geographies.
- Maintain rigorous assumption documentation, version control, and audit trails for every forecast cycle, supporting reproducibility and review by affiliate and global stakeholders.
- Track forecast accuracy across cycles, perform variance analyses against actuals, and translate learnings into improved drivers and assumptions for the next cycle.
- Data, Methodology, and Tooling: Work with IQVIA MIDAS, local audit data, syndicated subnational data, claims, prescription data, and epidemiology sources to build robust market and patient views across Ex-US geographies.
- Apply statistical and machine learning techniques where appropriate — including ARIMA, exponential smoothing, regression (single and multivariate), Prophet, and other time-series methods — to enhance forecast accuracy for in-market brands.
- Build forecast outputs and tracking dashboards in Tableau or Power BI; structure model files in Excel and, where applicable, in Python or R for automation and reproducibility.
- Stakeholder Partnership and Communication: Partner with affiliate forecasting leads, brand teams, finance, and global IBU stakeholders to clarify intake, align on methodology, and walk through outputs, assumptions, risks, and scenarios.
- Translate model outputs into clear narratives, decision-grade slides, and assumption summaries tailored to commercial, finance, and senior leadership audiences.
- Represent the GCC forecasting pod in cross-functional working sessions for brand planning, S&OP;, LRP, and ad-hoc strategic questions.
- Process Improvement and Operational Excellence: Identify opportunities to automate recurring forecast updates, standardize templates across markets and brands, and build reusable assumption libraries that improve speed and consistency.
- Contribute to building capability within the GCC pod, including knowledge sharing, documentation of best practices, and onboarding support for new analysts.
- Leverage AI and GenAI tools to accelerate data preparation, assumption research, deviation reasoning, and narrative generation within forecasting workflows.
KNOWLEDGE, SKILLS & EXPERIENCE
Education: Bachelors Degree required in Statistics, Economics, Data Science, Life Sciences, Computer Science, Engineering, or a related quantitative field. Advanced degree (Masters or MBA) in Analytics, Economics, Data Science, Business, or a related quantitative field is strongly preferred. Relevant certifications in forecasting, analytics, cloud platforms, or statistical methods are a plus.
Experience: 4-5 years of progressive experience in pharmaceutical forecasting, commercial analytics, healthcare analytics, or related quantitative areas. Hands-on experience building and maintaining multiple forecast types — short-term and long-term, in-line and launch, patient-based and demand-based — across more than one market. Experience supporting Ex-US markets is required, particularly EU markets; exposure to Asian or Latin American markets is a strong plus. Working knowledge of pharma data assets such as IQVIA MIDAS, local audit data, prescription and claims data, and epidemiology sources for Ex-US markets.
Proficiency in advanced Excel for forecast model construction; working knowledge of Python, R, or SAS for data preparation, time-series analysis, and automation. Strong experience with Tableau or Power BI for forecast tracking, scenario reporting, and commercial performance dashboard development. Familiarity with cloud analytics environments (Databricks, AWS, Azure) and forecasting platforms (e.g., Anaplan, J+D, SAP IBP) is a plus. Demonstrated ability to manage multiple forecast cycles simultaneously in a fast-paced, cross-cultural, matrixed environment.
SKILLS & COMPETENCIES
- Forecasting Methodology Breadth — Comfortable selecting and applying patient-based, demand-based, and hybrid forecast approaches based on the business question and data context.
- Pharmaceutical Domain Knowledge — Understands demand drivers, patient flow, market events, lifecycle stages, and competitive dynamics across therapy areas and Ex-US markets.
- Analytical Rigor — Applies disciplined assumption management, sensitivity analysis, and accuracy tracking to every forecast deliverable.
- Stakeholder Partnership — Builds trusted working relationships with affiliate forecasting leads, brand teams, finance, and global partners across multiple time zones.
- Data Storytelling — Distills forecast outputs, assumptions, risks, and scenarios into transparent narratives with practical business implications and decision points.
- Operational Excellence — Identifies and implements opportunities to automate, standardize, and scale forecasting workflows using modern tools and engineering practices.
- Cross-Cultural Communication — Fluent communicator across India-EU-Asia-LatAm time zones; adapts style effectively for technical and commercial audiences.
TAKEDA LEADERSHIP BEHAVIORS
- Act with Integrity — Deliver accurate, transparent work and take full responsibility for quality.
- Collaborate Cross-Functionally — Contribute positively to GCC-IBU 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Senior Analyst, Forecasting (Bengaluru)
🏢 Takeda Pharma Vertrieb
📍 Bengaluru