Analyst - Forecasting

Job Title: Analyst - Forecasting

Career Level: C3

Introduction to role:

Are you ready to turn complex healthcare data into decision-ready forecasts that shape brand strategy and, ultimately, patient access to life-changing medicines? As an Analyst - Forecasting based at Manyata Tech Park, Bangalore (2 PM–11 PM IST, Hybrid), you will be a critical partner to global and US commercial leaders, translating signals from markets into transparent, defensible outlooks for our most strategic brands and early assets.

You will work at the center of cross-functional decision-making—linking insights from research, epidemiology, finance and market access into patient- and volume-based models that guide investment and planning. You will help set expectations for performance in top priority markets, surface risks and opportunities, and evolve the forecasting capabilities that keep our business agile and effective. Do you thrive on challenging assumptions, stress-testing scenarios, and turning debate into clarity?

Accountabilities:

Demand Forecast Ownership: Deliver robust, transparent forecasts for strategic brands and therapy areas across key global markets and/or the US, documenting assumptions and confidence levels.

Model Development and Maintenance: Build and maintain short- and long-term product forecasts, ensuring models reflect the latest data, research and market dynamics.

Assumptions and Scenario Management: Apply industry-leading modelling approaches, run sensitivity analyses and quantify ranges to guide risk and opportunity management.

Cross-Functional Challenge and Alignment: Confidently defend methodology and outputs with commercial, market access, pricing, finance and sales operations partners to drive shared understanding and alignment.

New Product Introduction Forecasting: Develop volume and patient forecasts for pipeline and life-cycle management opportunities to inform strategic and operational planning.

Data Integration and Research Synthesis: Incorporate primary research and secondary sources into forecast assumptions; proactively leverage IQVIA, claims, epidemiology and other datasets to strengthen evidence.

Capability Building and Innovation: Advance forecasting methodologies (statistical, predictive, simulations/Monte Carlo) and embed automation and >

Date Posted

02-Jun-2026

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.