Data Analyst Intern

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Location Neuilly-sur-SeineIle-de-FranceFrance
Type Internship
Seniority Intern
Posted Feb 24, 2026

Join LVMH Client Services in Neuilly-sur-Seine, France, as a Data Analyst Intern. Enhance data processes and create impactful reports in a leading luxury group.

Overview

LVMH, the global leader in luxury, established LVMH Client Services in 2017 as a dedicated entity specializing in remote customer service to enhance the digital era's customer experience. As part of the LVMH conglomerate, this division represents 20 prestigious Maisons, providing international clientele with unparalleled online shopping experiences.

Role & Responsibilities

  • Enhance and maintain the data collection process, ensuring data quality and integrity while implementing automation solutions.
  • Design, develop, and automate interactive reports and visually appealing dashboards using Power BI, transforming raw data into actionable insights.
  • Participate in various internal projects related to client data production and analysis, including integration relations, report writing, process implementation, technical documentation, and production follow-up.
  • Conduct ad hoc studies involving performance analysis, and quantitative and qualitative analyses.

Qualifications

  • Currently pursuing a Master's degree in Engineering with a specialization in Big Data/Statistics.
  • Proficiency in both written and spoken French and English.

Skills

Advanced proficiency in Excel and knowledge of data visualization software. Familiarity with SQL and topics related to Big Data, Cloud, and scripting. Strong analytical skills, attention to detail, and curiosity.

Experience

Entry-level, suitable for students currently pursuing a Master's degree.

Education

Pursuing a Master's degree in Engineering with a specialization in Big Data/Statistics.

Benefits

Opportunity to gain hands-on experience in a leading luxury group's data management team.

Culture

LVMH Client Services fosters a dynamic and innovative work environment, emphasizing excellence in customer service and data-driven decision-making. The team values collaboration, continuous learning, and a commitment to enhancing the customer experience through digital innovation.