External Manufacturing & Supply Business Data Analyst - VIE Contract
- Location: United States, Framingham
- Target start date: 01/10/2026
iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.
PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.
PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide. Therefore, only applications that are submitted in English will be considered. Please make sure to apply with your personal email address.
About the job
As External Manufacturing & Supply Business Data Analyst VIE within our Digital Data & Technology team you will work with autonomy on defined projects while being mentored and supported by the AI, Data Foundations & Analytics team. You will take ownership of deliverables, contribute to cross-functional discussions, and help drive the External Manufacturing & Supply (EM&S)data strategy forward.
Join a global network that powers how Sanofi delivers — seamlessly, purposefully, and at scale. In Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster.
Ready to get started?
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
Main responsibilities:
- Contribute with autonomy to data analytics projects across the EM&S organization, from scoping through delivery.
- Take ownership of specific deliverables within larger data science and analytics initiatives.
- Take ownership of specific deliverables within larger data science and analytics initiatives.
- Develop and maintain data pipelines, dashboards, and reports with limited supervision.
- Participate actively in cross-functional meetings and contribute to project discussions.
- Collaborate with Supply Chain, Quality, Finance, and Digital teams to translate business needs into data solutions.
- Contribute to the development and maintenance of EM&S databases and reporting environments