Internship - Data Product Analyst - February 2026 M/F

Job Description:

For over 100 years, Danone has been supporting people worldwide with its 146 delicious brands. Located in over 120 countries with more than 89,000 employees across production sites, warehouses, headquarters, and R&D center, Danone continually develops iconic products. Certified as Bcorp and Happy Trainees, Danone strives to be a better company for the world, its consumers, and its employees.

YOUR MISSIONS AT DANONE:

This internship will take place in Rueil-Malmaison, at our headquarters starting from February 2026. Data Product Owner in the team Global Data & Analytics will guide tour through your day-to-day tasks and help you grow in your role:

* Supports Product Owner in the delivery of a new analytics use-case for Finance and work with the Product SQUAD to shape our data strategy

* Collect requirements with Global and Local Finance teams from all Danone entities to define the specifications and the different Product Features

* Data analysis and data quality monitoring automation (e.i. using AI algorithm or python scripts)

* Participate in the definition and delivery of some data ingestion pipelines with our IT Data Platform (Databricks)

* Analyze and define opportunities to improve Product Experience and adoption of the existing Analytics products

* Follow Agile methodology to work in an iterative way and continuous improvement approach

* Analyze market best practices for domain Finance and propose new solutions and way of workings

THE BENEFITS OF THIS INTERNSHIP:

* Up to 2 days/week of remote work
* Full reimbursement of Navigo pass/TCL subscription
* "Vendredi je grandis" program: development every Friday afternoon covering career, soft skills, and hard skills.
* INTERNSHIP : Compensation from EUR1,300 (Bachelor's +4 and gap year) to EUR1,500 (Bachelor's +5) gross/month.
* Benefits: company restaurant, gym, bike parking

For this position, we are looking for someone:

* Available from February 2026 for a duration of 6 months
* At the level of Bac+4/5 in university, business school, or engineering school
* Autonomous and proactive
* Comfortable with Python and SQL (ideally an ETL tool like Databricks), you have an affinity for accounting and financial concepts
* Enjoys working closely with business teams and interacting with different departments in an international environment
* Fluent in English