Decision Analytics Consultant- Forecasting

What You’ll Do

• Lead and execute forecasting and decision analytics projects, including commercial demand forecasting and broader strategic use cases
• Develop and deploy advanced forecasting models (epidemiology-based, patient-based, trend-based) and AI/ML-driven solutions
• Translate complex, ambiguous business problems into structured analytical frameworks and actionable insights
• Synthesize diverse data sources (market, patient, epidemiology, clinical, and secondary research) to inform forecasting assumptions and recommendations
• Engage directly with clients and senior stakeholders, serving as a trusted advisor with strong in-room presence
• Manage and mentor global, cross-functional teams (including offshore teams and business analysts), ensuring high-quality delivery across workstreams
• Lead end-to-end project execution, from scoping through model build, validation, and executive-level presentation
• Build and present executive-ready deliverables, including forecasting models, scenario analyses, and strategic insights decks
• Apply AI-led thinking and innovative approaches to improve forecasting accuracy and decision-making
• Maintain expertise in pharmaceutical markets, therapeutic areas, and global market dynamics (US, EU, Japan, emerging markets)

What You’ll Bring

• MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application.
• In lieu of an MBA or PhD, 6-8 years of relevant work experience may substitute.
• Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA)
• Strong expertise in commercial demand forecast modeling, AI/ML, or quantitative analysis
• Proven ability to solve complex, ambiguous business problems
• Experience working directly with clients and senior stakeholders
• Track record of collaborating with or managing global, cross-functional teams
• Strong data synthesis, communication, and storytelling skills
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach