External Manufacturing & Supply Business Data Analyst VIE

External Manufacturing & Supply Business Data Analyst – VIE Contract | Sanofi The Tone This is an international development program (VIE Contract) at Sanofi, located in Framingham, United States. Sanofi is an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth by inventing medicines and vaccines. In this role, you will contribute to reimagining how life-changing treatments reach people everywhere, faster, by helping to drive the External Manufacturing & Supply (EM&S) data strategy forward. You will join a global network that powers how Sanofi delivers seamlessly, purposefully, and at scale. The TL;DR Role: International Development Program (VIE) Type: Contract Location: In-person, Framingham, MA Team: Digital Data & Technology team, mentored by the AI, Data Foundations & Analytics team. Mission: Drive the External Manufacturing & Supply (EM&S) data strategy forward to deliver treatments to people faster. Tech Stack: Python, SQL, Power BI, Dataiku, Snowflake, AWS, GitHub, scikit-learn, pandas, NumPy, Streamlit What You’ll Actually Do Lead: Contribute with autonomy to data analytics projects across the EM&S organization, from scoping through delivery. Develop: Create and maintain data pipelines, dashboards, and reports with limited supervision. Collaborate: Work with Supply Chain, Quality, Finance, and Digital teams to translate business needs into data solutions. Maintain: Contribute to the development and maintenance of EM&S databases and reporting environments such as Snowflake and Power BI. Participate: Actively engage in cross-functional meetings and contribute to project discussions. The Must-Haves Background: Master's degree in Data Science, Computer Science or a related field. Experience: Minimum of one significant internship or equivalent academic project demonstrating end-to-end work on a data science or analytics initiative, plus demonstrated ability to contribute to data engineering or analytics projects with some independence. Skills: Solid proficiency in Python programming for data engineering and analytics, good working knowledge of SQL and relational databases, experience with data visualization tools (Power BI, Dataiku, or similar), familiarity with cloud platforms (Snowflake, AWS), and experience with GitHub and version control practices. Bonus: Basic understanding of pharmaceutical or manufacturing operations, exposure to machine learning frameworks (scikit-learn, pandas, NumPy), and familiarity with Streamlit or similar application development tools. #J-18808-Ljbffr Sanofi