Louis Vuitton Supply Chain Data Analyst Intern
Louis Vuitton, a prestigious name in the luxury fashion industry, is part of the LVMH conglomerate, renowned for its commitment to excellence and innovation. As an employer, Louis Vuitton offers a dynamic and enriching environment where employees are encouraged to explore, develop, and excel in their careers. The brand is dedicated to fostering a culture of continuous learning and professional growth, providing its team members with the resources and support needed to thrive in the competitive world of fashion.
- Conduct analyses and visualizations to guide distribution strategies and influence decision-making.
- Gather improvement requirements for data sets and PowerBI reports from Supply Chain teams.
- Prioritize and execute development tasks.
- Communicate new functionalities and update documentation.
- Support the migration of data environments to the GCP platform.
- Currently enrolled in a business school, engineering school, university, or equivalent program.
- Proficiency in computer tools, programming, and data processing.
- Experience with Excel, SQL, and Power BI.
- Fluency in English.
- Strong interpersonal skills, autonomy, and attention to detail.
- Comfort with quantitative data and strong analytical and synthesis capabilities.
- Knowledge of RPA software is a plus.
No prior professional experience required, suitable for beginners.
Currently enrolled in higher education (business, engineering, or equivalent).
The internship offers continuous learning opportunities and professional development in a dynamic environment, with personalized support to enhance skills and confidence. Interns will engage in meaningful work that supports environmental commitments and diversity initiatives.
Louis Vuitton fosters a culture of innovation, passion, and excellence, encouraging employees to embark on a journey of personal and professional growth. The company is committed to environmental sustainability and social responsibility, actively engaging in climate efforts and resource preservation.

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