Data Excellence Internship: Analytics & Taxonomy in Paris

UNAVAILABLE

Paris

Hybride

EUR 15 000 - 17 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

2 remote days per week
Navigo/TCL commute reimbursement
Vendredi je grandis program
Company restaurant
Gym
Bike parking
Free yogurts

Résumé du poste

Danone in Paris is offering a 6-month internship in the Data & Analytics Excellence team, starting January 2027. You will work under the guidance of Vincent, the Data & Analytics Excellence Manager, tackling data quality, taxonomy changes, and documentation while promoting adoption of advanced analytics tools.

The role requires Bac+4/5 studies, English fluency, and a strong appetite for data. It is a hybrid position with potential remote days and includes perks such as a company restaurant and

Qualifications

  • Available from January 2027 for a duration of 6 months.
  • Bachelor's/master level in Bac+4/5 in university, business school, or engineering school.
  • English mandatory.
  • Organized, rigorous, appetite for data, autonomous, problem solving.
  • Committed to diversity and able to adapt within a team (culture, disability, etc.).
  • Enjoys working closely with business teams and interacting with different departments.
  • Tools: fluent in Excel, PowerBI is a plus.

Responsabilités

  • Analyze data inconsistencies across data types and suggest improvements.
  • Analyze and evaluate impact of global taxonomies changes.
  • Improve data documentation.
  • Facilitate adoption of Advanced Analytics Tools.

Connaissances

English (mandatory)
Organized
Rigorous
Autonomous
Problem solving

Formation

Bac+4/5

Outils

Excel
PowerBI

Description du poste

Danone in Paris is offering a 6-month internship in the Data & Analytics Excellence team, starting January 2027. You will work under the guidance of Vincent, the Data & Analytics Excellence Manager, tackling data quality, taxonomy changes, and documentation while promoting adoption of advanced analytics tools.

The role requires Bac+4/5 studies, English fluency, and a strong appetite for data. It is a hybrid position with potential remote days and includes perks such as a company restaurant and

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