LVMH Hiring! Full Time Data Analytics - Project Management Intern, Travel Retail in - Ricebowl

YOUR MISSION _________

Drive process efficiency by automating reporting and improving data workflows, enabling faster and more reliable decision-making through standardized datasets and dashboards.

CORE RESPONSIBILITIES

Automation & Digitalization

• Identify recurring manual tasks (report preparation, data consolidation, tracker updates) and redesign workflows to reduce cycle time and errors.
• Build automation using Excel Power Query/Power Pivot, Power BI dataflows, and/or Python (where applicable).
• Support digitization of trackers/forms (e.g., standardized templates, structured input, controlled master data).

Data Pipeline & Governance (Light data engineering)

• Consolidate data from multiple sources into clean, standardized datasets (“single source of truth”).
• Maintain backend datasets and ensure refresh schedules and data quality controls that is supporting the real time retail, operations and data dashboards.
• Implement data governance: KPI definitions, data validation checks, version control, documentation in line with APAC database.

Dashboards & Self-Serve Reporting

• Design and maintain Power BI dashboards and automated reporting packs for stakeholders.
• Create clear metric definitions and user guides to enable self-serve usage.

Documentation & Enablement

• Maintain SOPs, process documentation, and training materials for new automated workflows.
• Support ad-hoc analytics requests that are tied to improving repeatable processes.

Deliverables / Success Measures

• Accurate and on-time retail ops reporting packs and dashboards
• Improved data quality and governance (fewer reporting errors, clearer KPI definitions)
• Documented processes/SOPs and measurable time saved via automation or workflow improvements
• Effective coordination support to stores and field team

Requirements

• Able to commit 6 months full time internship from Jan 2027 to Jun 2027
• Diploma/Degree in Data Analytics, Data Science, Business Analytics (or equivalent analytical exposure)
• Strong Excel skills (formulas, Pivot Tables, Power Query/Power Pivot); PowerPoint; Power BI
• Detail-oriented, organized, able to manage multiple deadlines
• Strong communication skills with both office and field teams
• Python/R is a bonus