Logistics Projects Intern — Data-Driven Ops & Change

L'Oréal Groupe; Paris; Sur place; EUR 17 000 - 21 000; Plein temps

Avantages offerts par ce poste

Remuneration: €1,700 per month

Public transport costs covered (75%)

Remote work: 1 day per week

Paid Leave: 1 day per month

Learning Platform access

Staff and Friends & Family sales

Campus facilities

Résumé du poste

L’Oréal Groupe offers a 6-month internship in Logistics Projects (Physical Distribution) starting January 2027. You will analyze operational data, test data reliability, contribute to dashboards and performance initiatives across sites, and gain exposure to cross-functional teams.

Ideal for a Bac+5 student in industrial engineering or supply chain, this role blends field work with data analysis. Fluent French is required; English is a plus, and you’ll grow in a global beauty leader through

Qualifications

• Analytical skills and curiosity for solving concrete problems.
• Comfort with data and field work across functions.
• Ability to work autonomously and take initiative.
• Fluent French; English is a plus.

Responsabilités

• Data analysis: analyze operational data and identify improvement ideas.
• Data reliability: test datasets and document results.
• Dashboards: assist in designing or improving steering tools.
• Logistics performance: support improvement projects across sites.
• Explore improvement opportunities by combining data, process understanding and collaboration.
• Share best practices and rollout across sites.

Connaissances

Analytical skills

Data analysis

French language

Initiative

Autonomy

Formation

Bac+5 in industrial engineering / supply chain

Description du poste

L’Oréal Groupe offers a 6-month internship in Logistics Projects (Physical Distribution) starting January 2027. You will analyze operational data, test data reliability, contribute to dashboards and performance initiatives across sites, and gain exposure to cross-functional teams.

Ideal for a Bac+5 student in industrial engineering or supply chain, this role blends field work with data analysis. Fluent French is required; English is a plus, and you’ll grow in a global beauty leader through