Moët Hennessy Data Analyst
- Location
- Employment
- Internship
- Seniority
- Intern
- Posted
- Mar 16, 2026
About Moët Hennessy
Moët Hennessy is the Wines & Spirits division of LVMH, recognised globally for an international portfolio of premium champagne, wines and spirits. The organisation leverages a worldwide distribution network to market prestigious maisons and cultivates a culture centred on craftsmanship, brand heritage and commercial excellence within the LVMH group.
Moët Hennessy — Data Analyst apprenticeship in Paris (7th). 12‑month internship from Sept 2026 in Internal Control focusing on data automation and Power BI migration.
Role & Responsibilities
- Support the introduction of data-driven analyses for internal control preparation, including data extraction, cleansing and validation.
- Develop and implement process automation solutions (Python, SQL, VBA, Power Automate) to streamline internal control workflows.
- Contribute to the migration of Power BI assets to Google Cloud Platform: extract data from SAP, conduct data consistency checks, and participate in testing.
- Design, maintain and enhance Power BI dashboards and visualisations to serve the internal control community.
- Participate in day-to-day project management activities: planning, progress tracking (e.g. JIRA) and preparation of project communications and reports.
- Support IT internal control assignments: prepare test scripts, perform sampling, collect and analyse documentation and data for control testing.
- Document work in project and data governance tools (JIRA, Data Galaxy) and ensure clear communication with stakeholders and users.
Qualifications
- Master's-level education (Bac+4/5) in engineering, computer science, MIAGE or equivalent.
- Professional working proficiency in French and English.
- Strong programming and data manipulation skills: Python, SQL and VBA.
- Advanced proficiency with Excel and Power BI (modelling, automation, visualization).
- Familiarity with SAP and knowledge of internal control / audit principles is an asset.
- Analytical rigour, attention to detail, service orientation, adaptability and strong interpersonal communication.
Skills
Experience
Early-career candidates; suitable for students or recent graduates (Bac+4/5) with solid academic training in IT/data and prior internships or project experience in data, development or information systems preferred.
Education
Master's-level degree (Bac+4/5) in engineering, computer science, MIAGE or equivalent.
Workplace
The successful candidate will be located in Paris, Île-de-France, France.
Benefits
75% reimbursement of public transport pass; 50% contribution to meal vouchers (Titre Restaurant); up to 2 days remote work per week.
Culture
Moët Hennessy blends craftsmanship and entrepreneurial spirit within the LVMH ecosystem, emphasising elegance, integrity and a passion for exceptional brands. The workplace values collaboration, curiosity and professional development while promoting diversity, equity and inclusion.
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 Moët Hennessy, 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 «Data Analytics Apprentice», «Junior Data Analyst», «Data & Automation Analyst», «Business Intelligence Apprentice», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.