Principal Analyst, Forecasting
Core
Senior individual contributor and technical lead responsible for designing and delivering complex, high-visibility forecasts (patient-based prevalence, disease-progression, demand-based, hybrid launch, and long-range) for International Business Units across Ex-US markets.
Role type
Principal Analyst (Forecasting)
Builds
Production forecasting models and analytical frameworks supporting brand planning, S&OP, and portfolio cycles.
Domain
Pharmaceutical industry, commercial analytics, and demand forecasting.
Deliverable
production ML models | dashboards & analysis
Required skills
Patient-based modeling (prevalence, incidence, disease progression), demand-based modeling (trend, time-series, regression, exponential smoothing), scenario and sensitivity analysis, assumption governance, data visualization (Tableau/Power BI), advanced Excel, stakeholder influence, mentorship, automation.
Preferred skills
Machine learning techniques (ARIMA, Prophet, multivariate regression), coding (Python, R, SAS), cloud analytics (Databricks, AWS, Azure), forecasting platforms (Anaplan, JDA/Blue Yonder, SAP IBP), experience with Asian or Latin American markets.
Technologies
Excel, Tableau, Power BI, Python, R, SAS, Databricks, AWS, Azure, Anaplan, JDA/Blue Yonder, SAP IBP, IQVIA MIDAS
Responsibilities
Own design and delivery of complex forecasts across multiple IBU markets; serve as methodology expert for the pod; lead scenario, sensitivity, and risk analyses; define and enforce assumption documentation and audit-trail standards; mentor junior analysts; establish best practices for working with pharma data assets; translate complex model outputs into decision-grade narratives.
Seniority
Principal, senior individual contributor and technical lead
