Moët Hennessy Data & AI Business Analyst Intern

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.

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

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

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

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

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

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.

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.