Senior Analyst - Forecasting

Overview

Develop patient, volume, and revenue forecasts for strategic brands and early assets across Global priority markets and the US, informing brand strategy, investment decisions, and patient reach.

What you'll do

• Develop and own forecast models, building, validating, and maintaining short-term and long-term models that reflect current data, assumptions, and market dynamics for key brands and initial assets.
• Translate insights into clear recommendations, defend methodologies and assumptions, and influence cross-functional collaborators with clear logic and quantified confidence.
• Align forecast assumptions and analytical outputs with partners in Marketing, Sales, Market Access and Pricing, Finance, Analytics, and Sales Operations to ensure a single, trusted view of demand.
• Develop volume forecasts for launches to feed strategic and operational planning, informing resourcing, supply, and market activation.
• Identify and apply the right data sources and industry-leading approaches, integrating primary research and secondary data for objectivity and comprehensive coverage.
• Conduct sensitivity and scenario analysis, including simulations and ranges (including Monte Carlo as appropriate), to quantify upside/downside and support risk management.
• Create new forecast frameworks as business needs emerge for pipeline assets, lifecycle management, and business development opportunities.
• For US-focused work, participate in S&OP processes, submit volumes, and build weekly, monthly, and annual models and conversions aligned to commercial rhythms.
• Evolve forecasting capabilities through innovation in methodologies, automation, and tools, and champion standard processes that improve speed, reliability, and decision quality.
• Deliver forecasts with clear, accessible documentation of assumptions, confidence levels, and key drivers, and proactively surface issues that matter to the business.

What you'll need

• Bachelor's Degree in relevant field.
• 6+ years of direct pharmaceutical forecasting experience with in-depth knowledge of forecasting techniques, models and approaches.
• Good understanding of multiple disease areas, with experience in rare diseases/OBU including how patients move through diagnosis and treatment pathways, including treatment dynamics.
• Experience integrating insights from market research and secondary data analysis into forecast assumptions.
• Experience using a range of data sources and analytics involving standard pharmaceutical industry data, e.g. IQVIA (MIDAS, DDD NPA, Monthly Xponent), claims data (Truven, Marketscan), epidemiological data, etc.
• For US forecasting, experience with TRx / NBRx / NRx data and methodologies.
• Strong analytical expertise; excellent Excel, financial modelling and forecasting skills.
• Ability to build trusted relationships across partner groups including Marketing, Analytics, Operations, and Technology.
• Confirmed experience in problem solving and continuous improvement.
• Strong written and verbal communication.

Nice to have

• Advanced degree or equivalent experience (e.g., PhD, MBA, Masters).
• Knowledge and experience in sophisticated statistical forecast methodologies and applied AI / ML / automation.
• Experience working with Power Apps, specifically PowerBI.
• For US forecasting, confirmed understanding of US Market Access and gross-to-net.

Details

• Based at Manyata Tech Park, Bangalore, India.
• Hybrid schedule: three days a week in office.
• 2 PM - 11 PM IST shift.