Business Data Analyst – External Manufacturing & Supply

Sanofi

Business Data Analyst supporting data strategy for External Manufacturing & Supply at Sanofi. Engaging in data analytics projects, collaborating with cross-functional teams, and developing data solutions.

Posted 5/24/2026full-timeFramingham • Massachusetts • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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).

Requirements

What you’ll need

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.
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.
Master’s degree in Data Science, Computer Science or related field.
Fluent English (written and verbal).

Benefits

Comp & perks

Be part of a pioneering biopharma company where patient insights shape drug development.
Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
Shape the future of medicine and vaccine delivery with cutting-edge technology, ensuring seamless launches and a resilient global supply.
Power industry-leading performance by leveraging digital, data, and AI-driven innovation – at speed and scale.
Transform lives worldwide by delivering life-changing treatments anywhere, anytime.
Work with AI, robotics, and next-gen automation to redefine global manufacturing and supply.

ATS Keywords

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Hard Skills & Tools

PythonSQLdata engineeringdata analyticsdata visualizationmachine learningscikit-learnpandasNumPyStreamlit

Soft Skills

autonomyownershipcollaborationcommunicationcross-functional teamworkindependenceparticipationcontribution

Certifications

Master’s degree in Data ScienceMaster’s degree in Computer Science