Data Analytics & Project Management Intern, Travel Retail

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 support 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 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 to a 6-month full-time internship from Jun/Jul to Dec 2026
• 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

WHAT CAN WE OFFER? _________

• A challenging role in a fast moving, ambitious environment, with daily learning opportunities and passionate team members.
• Beyond this role, your development is a pillar of our ambition. Parfums Christian Dior, as part of LVMH, offers a Career perspective with a worldwide presence and continuous growth within 75 distinguished Houses.

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• So, How Far Will You Take Dior?