Analyst - Forecasting

Job Title: Analyst - Forecasting

Career Level - C3

Introduction to role

Are you ready to make a significant impact in the world of biopharmaceuticals? At AstraZeneca, we are dedicated to the discovery, development, and commercialization of life-changing medicines. As part of our Global Business Service (GBS) team within Finance, you will be at the forefront of driving agility, efficiency, and effectiveness across our organization. Join us in our mission to push the boundaries of science and deliver transformative medicines to patients worldwide.

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 and brands, setting performance expectations, and guiding brand strategy. You will develop short-term and long-term forecast models, maintain up-to-date models, lead forecasting and business planning processes, and identify key business issues impacting forecasts. Additionally, you will incorporate primary research results into forecast models, develop patient-based forecast models, and ensure alignment with business partners.

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 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.

AstraZeneca is a place where your work has a direct impact on patients' lives. We combine cutting-edge science with leading digital technology platforms to drive innovation and deliver life-changing medicines. Our dynamic environment offers countless opportunities to learn, grow, and make a meaningful impact. With a commitment to excellence and a spirit of experimentation, we empower our teams to explore new solutions and tackle challenges head-on.

Ready to join us on this exciting journey? Apply now and be part of a team that dares to disrupt an industry and change lives!

Date Posted

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.