Louis Vuitton Supply Chain and Logistics Data Analyst Intern
- Location
- Paris Île-de-France France
- Employment
- Internship
- Seniority
- Intern
- Department
- Supply Chain, Logistics & Inventory
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- Oct 2, 2026
About Louis Vuitton
Founded in Paris in 1854, Louis Vuitton stands among the world’s most emblematic luxury maisons, renowned for exceptional craftsmanship, innovation, and the art of travel. As an employer, the Maison offers a distinctive environment where heritage and modernity meet, inviting talents to contribute to a global culture of excellence across retail, design, craftsmanship, client experience, operations, and corporate functions. Louis Vuitton values curiosity, precision, creativity, and entrepreneurial spirit, supporting employees through international opportunities, learning pathways, and a strong commitment to savoir-faire. Its teams are united by a shared ambition to craft enduring desirability and deliver exceptional experiences worldwide.
Louis Vuitton is seeking a Supply Chain and Logistics Data Analyst Intern to analyze and visualize operational performance, improve datasets and Power BI reporting, and support data-access tools. The six-month conventionné internship starts in March and is based on-site in Paris.
Role & Responsibilities
- Conduct analyses and create visualizations to monitor supply chain performance and logistics operations.
- Gather improvement requirements for datasets and Power BI reports from Supply Chain and Logistics teams.
- Help prioritize developments and implement them using BigQuery and Power BI.
- Communicate new features and update documentation.
- Contribute to testing new data-access interfaces based on generative AI (LLMs).
Qualifications
- Final-year student at an engineering school, university, or equivalent programme, specializing in IT, data, supply chain, or logistics.
- Comfortable with IT tools, programming, and data processing; prior experience with Excel, SQL, and Power BI.
- Python proficiency, initial cloud experience (GCP/BigQuery), and an interest in generative AI are advantages.
- Good command of English.
- Strong interpersonal skills, autonomy, rigor, and organizational skills.
- Comfortable working with quantitative data, with analytical and synthesis skills.
Skills
Education
Final-year studies at an engineering school, university, or equivalent programme, specializing in IT, data, supply chain, or logistics.
Workplace
The successful candidate will be located in Paris, Île-de-France, France.
Benefits
Continuous learning and professional development opportunities; personalized support and coaching; environmental and climate initiatives.
Culture
Louis Vuitton fosters a culture rooted in heritage, craftsmanship, and a relentless pursuit of excellence, where employees contribute to one of the world’s most iconic luxury maisons. Its workplace environment combines creativity, precision, and international collaboration, offering teams the opportunity to grow within a brand that values innovation, client experience, and long-term savoir-faire.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Louis Vuitton, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Supply Chain BI Intern», «Logistics Data Analyst Intern», «Supply Chain Analytics Intern», «Business Intelligence Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.