External Manufacturing & Supply Data Analytics SpecialistSanofi • Cambridge, Massachusetts, United States
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External Manufacturing & Supply Data Analytics Specialist
Sanofi
- Cambridge, Massachusetts, United States
- Cambridge, Massachusetts, United States
Über
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 data strategy forward.
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.
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 (Snowflake, Power BI).
Qualifications
Minimum of one significant internship or equivalent academic project demonstrating end‑to‑end work on a data science or analytics initiative.
Demonstrated ability to contribute to data engineering or analytics projects with some independence.
Familiarity with agile working methods and collaborative development environments.
Basic understanding of pharmaceutical or manufacturing operations is a plus.
Technical 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, particularly Snowflake and AWS.
Experience with GitHub and version control practices.
Exposure to machine learning frameworks (scikit‑learn, pandas, NumPy) would be a plus.
Familiarity with Streamlit or similar application development tools would be a plus.
Education
Master’s degree in Data Science, Computer Science or related field.
Languages
Fluent English (written and verbal).
Location & Start Date United States, Framingham. Target start date: 01/10/2026.
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Sprachkenntnisse
- English
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