Senior Forecasting Analyst

Job Title: Senior Forecasting Analyst

Career Level - D1

Introduction to role:
Are you ready to make a significant impact in the world of healthcare? Join us as a Senior Forecasting Analyst in our Global Analytics & Insights team. Our mission is to improve the quality of decisions taken on our assets and across our Disease Areas through excellent market, customer, and competitor analytics. This role will focus on supporting the analytics and forecast for oncology products. This is the place to really develop your business acumen with exposure to the latest updates across the business from the most recent studies to product innovations.

Accountabilities:
As a Senior Forecasting Analyst, you will lead data analytics and manage the AZ Epi Datawarehouse with guidance from GA&I Associate Directors / Directors. You will support performance reporting and data analysis to identify strategic insights. You will tap into AZ purchased datasets to provide analytical evidence to support forecast assumptions. You will also help build internal data analytics capability to support evidence generation within the team. You will work with GA&I forecast leads to ensure that the latest epi is updated and available in the AZ epi Datawarehouse.

Essential Skills/Experience:
- Bachelor’s degree or above in a science or mathematics discipline
- 4+ years of analytics & forecasting experience
- Strong data analytics and modelling skills using tools like SPSS/SAS/PYTHON etc
- Expertise in oncology epidemiology and experience using multiple data sources from healthcare data and analytics companies like Cerner Enviza, DRG, IQVIA, and sources such as American Cancer Society, Global Cancer Observatory
- Advanced proficiency in Excel, excellent numerical and problem-solving skills
- Excellent communication skills, both spoken and written
- Current or previous oncology experience is required.

Desirable Skills/Experience:
- Master’s degree in a science or mathematics discipline
- Experience of working with a pharma product close to launch or post-launch
- RWE analysis experience (e.g. claim data analysis, ATU analysis)
- Experience managing a team and developing junior team member

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 team that supports the delivery of life-changing medicines for patients by enabling the rest of the business to run effectively and harness our transformative science. We're on a journey of growth and evolution to find better ways to translate value for the business and our patients. As part of our multi-cultural team, you'll be part of an evolving and growing area committed to driving efficiencies and effectiveness across the business with centralised activities and digital integration. We're reimagining how AstraZeneca works, transforming processes through simplification, automation, and data analytics. This is your chance to leave a legacy behind at a leading business where your contribution benefits the lives of patients across the world.

Ready to make a difference? Apply today and join us in our mission to improve the quality of decisions taken on our assets and across our Disease Areas!

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 authorisation and employment eligibility verification requirements.