Senior Analyst, Forecasting

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.

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.

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.

Bachelor's Degree required in Statistics, Economics, Data Science, Life Sciences, Computer Science, Engineering, or a related quantitative field.

Advanced degree (Master's 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.

3-5 years of progressive experience in pharmaceutical forecasting or related quantitative areas.

Hands-on experience building and maintaining multiple forecast types - including prevalence and disease-progression (patient-based) models and demand-based models, across short-term and long-term, in-line and launch horizons - 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.

Advanced Excel skills for forecast model construction are required.

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, JDA/Blue Yonder, SAP IBP) is a plus.

Demonstrated ability to manage multiple forecast cycles simultaneously in a fast-paced, cross-cultural, matrixed environment.

Working knowledge of coding techniques such as Python, R, or SAS for data preparation, time-series analysis, and automation is a nice to have, not a mandatory requirement.

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 – Distils forecast outputs, assumptions, risks, and scenarios into clear 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 practices.

Cross-Cultural Communication – Fluent communicator across India-EU-Asia-LatAm time zones; adapts style effectively for technical and commercial audiences.

Operational Excellence — Identifies and implements opportunities to automate, standardize, and scale forecasting workflows using modern tools and engineering practices.

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-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.