Data Analysis Intern

Seniority Intern
Posted Mar 15, 2026

Louis Vuitton in Munich seeks a Data Analysis Intern (12-month, full-time) to support retail KPI analysis and store performance across Germany and Austria.

Overview

Louis Vuitton is an iconic French luxury house and a leading global retailer of leather goods, ready-to-wear, and accessories. As part of the LVMH group, the brand combines craft-led production with a large international retail network and offers a fast-paced, creative workplace that emphasises quality, client experience and cross-functional collaboration.

Role & Responsibilities

  • Provide first-line operational support to stores across Germany and Austria and act as a liaison between Retail teams and Head Office functions (Retail Performance, Learning).
  • Monitor, review and produce weekly and monthly KPI and turnover reports to track store performance.
  • Perform in-depth analyses of retail KPIs—with particular focus on client experience—to identify trends and actionable insights for store teams.
  • Design and develop reporting approaches and dashboards to support in-store coaching programmes in close collaboration with the Learning team.
  • Promote internal tools, processes and content via the weekly internal Retail Magazine and other retail communications.
  • Support the organisation and delivery of workshops and training sessions to optimise store operations and processes.
  • Contribute to ad hoc Retail Performance projects to improve the client experience and daily business operations.

Qualifications

  • Fluency in English and German; French is a plus.
  • Available for a 12-month, full-time internship beginning 1 April 2026 and able to work on site in Munich (40 hours/week).
  • Advanced data analysis and reporting capabilities with experience analysing and visualising large data sets.
  • Advanced MS Office skills, particularly Word and PowerPoint, and exceptional Excel proficiency capable of independent analyses and report creation.
  • Proven experience in a client-centric service environment and excellent written and verbal communication skills.
  • Strong interpersonal skills, organisational aptitude, ability to prioritise, work independently and meet tight deadlines.
  • Proactive, team-oriented mindset with an agile, entrepreneurial approach to problem solving.

Skills

Excel MS Office Word PowerPoint KPI reporting Data analysis Data visualization

Experience

Minimum 3 years of relevant experience (as stated in source).

Education

Enrolled in or recently graduated from a Bachelor’s or Master’s programme in Business Analytics, Economics, Statistics, Mathematics, Data Science or a related field; equivalent practical experience acceptable.

Culture

The organisation values craftsmanship, creativity and exceptional client service within a global retail environment. Teams operate in a collaborative, high-performance culture that emphasises professional development, cross‑functional partnership and a strong focus on the client experience.