Pharmaceutical Forecasting Analyst

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 data-led improvements to increase value and explain uncertainty.

- Business Planning Support: Lead core inputs to planning cycles, sales bridges and ad-hoc analyses; clearly surface issues that impact outlooks and decisions.

- Global Portfolio Expansion: Create new forecasting models as business needs arise for early assets, lifecycle initiatives and business development evaluations.

- US Process Integration: Participate in S&OP, submit volumes and manage weekly/monthly/yearly models and conversions for the US where applicable.

Essential Skills/Experience:

- Bachelor’s Degree in relevant field

- 4+ years of direct Pharmaceutical forecasting experience with an in-depth knowledge of forecasting techniques, models and approaches

- Good understanding of one or more disease areas with experience in rare diseases/ OBU including how patients move through their respective diagnosis and treatment pathways, including treatment dynamics

- Experience integrating insights from market research and secondary data analysis into forecast assumptions

- Experience utilizing a range of data sources and analytics involving standard data in the Pharmaceutical industry – 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

- Strong written and verbal communication

Desirable Skills/Experience:

- Advanced degree preferred (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, proven understanding of US Market Access and gross-to-net

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

Join a globally connected enterprise where forecasters sit shoulder-to-shoulder with commercial leaders, data scientists and finance partners to inform decisions that ripple across markets and reach patients worldwide. We blend analytical rigor with real-world insight, using automation, advanced modelling and rich datasets to make our business more agile and effective. You will find a culture that values kindness alongside ambition, where diverse perspectives fuel better models and better choices, and where your craft directly influences how transformative medicines are brought to those who need them most.

Call to Action:

Own the forecasts that shape high-stakes decisions for global brands—take the next step in your career and send your application today.

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.

Experience Level

Mid Level