Data & AI Business Analyst Intern

Closed The candidacy window for this position at Moët Hennessy has closed.

While this position is no longer receiving submissions as of February 24, 2026, Moët Hennessy presents 126 alternative opportunities for your consideration.

Continue Your Search

We invite you to review more currently available roles:

Location ParisIle-de-FranceFrance
Type Internship
Seniority Intern
Posted Feb 24, 2026

Join Moët Hennessy in Paris as a Data & AI Business Analyst Intern. Gain hands-on experience in a dynamic, international team within the luxury wines and spirits industry.

Overview

Moët Hennessy, a global leader in luxury wines and spirits, epitomizes excellence and innovation. As part of the LVMH conglomerate, the company offers a prestigious environment for professionals seeking to make a significant impact in the luxury sector.

Role & Responsibilities

  • Analyze the current ecosystem of Data & AI projects.
  • Participate in the analysis of existing tracking processes.
  • Contribute to the identification of relevant KPIs.
  • Attend meetings with stakeholders.
  • Develop a Power BI dashboard according to defined specifications.
  • Establish connections to various data sources.
  • Create optimized data models.
  • Implement financial and business calculations.
  • Develop innovative and intuitive visualizations.
  • Create a web portal to integrate developed reports.
  • Train end-users and document processes.
  • Establish a maintenance and evolution system.
  • Propose continuous improvements based on feedback.

Qualifications

  • Currently pursuing a Master's degree in Engineering, Business, or a related field.
  • Specialization in Data Science, Business Intelligence, or Quantitative Finance.
  • Previous experience in data analysis or finance is advantageous.

Skills

Advanced proficiency in Power BI. Strong knowledge of SQL. Data modeling expertise. Familiarity with project management tools like Jira and Confluence. Understanding of React. Financial analysis skills, including cost-benefit analysis and ROI calculations. Excellent communication skills, with the ability to simplify technical concepts. Proficiency in English. Strong organizational skills and methodological rigor.

Experience

Entry-level position suitable for candidates with some prior exposure to data analysis or finance.

Education

Currently pursuing a Master's degree in a relevant field.

Benefits

Comprehensive training in tools and methodologies, personalized mentorship, progressive skill development, exposure to various aspects of the role, and a significant first experience in Data & AI.

Culture

The workplace is characterized by an international and dynamic team, employing Agile methodologies and utilizing a modern technological stack. Projects undertaken have a substantial business impact, fostering a culture of innovation and excellence.