Analyst - Forecasting
Job Title -Analyst- Forecasting
Career Level-C3
Location: Manyata Tech Park,Bangalore
Shift: 2 PM -11 PM IST, Hybrid (3 days a week in office)
Introduction to role
Are you ready to disrupt an industry and change lives? As an Analyst in Forecasting at AstraZeneca, you'll have the opportunity to make a direct impact on patients by transforming our ability to develop life-changing medicines. Based at Manyata Tech Park, Bangalore, and working a hybrid shift from 2 PM to 11 PM IST, you'll be part of a dynamic team that combines brand new science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise, where your work will empower the business to perform at its peak.
Accountabilities
As a Forecast Analyst, you will collaborate closely with the GIBEx/GA&I Forecast Leader and Commercial teams to develop brand forecasts for strategic brands and early assets. Your role will involve understanding therapeutic areas, setting performance expectations, and guiding brand strategy. You will develop product-specific forecast models, lead forecasting processes, and incorporate primary research results into forecast models. Additionally, you will align forecast assumptions with business partners and support continuous improvement in forecasting capabilities.
Essential Skills/Experience
- 3+ 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 applying 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.
At AstraZeneca, we couple technology with an inclusive mindset to cross international boundaries and develop a leading ecosystem. Our diverse team works multi-functionally at scale, bringing together the best minds from across the globe to uncover new solutions. We drive simplicity and efficiencies to make a real difference, empowering you to innovate and take ownership in a dynamic environment.
Ready to make an impact? Apply now and join us on this exciting journey!
Date Posted
07-Sept-2026Closing Date
10-Sept-2026AstraZeneca 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.