Data Analytics & Project Management Intern, Travel Retail

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

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.

So, How Far Will You Take Dior?

THE CONTEXT _________

Since 1947, the men and women of Parfums Christian Dior have embodied the founding "couturier-perfumer's" unique spirit of excellence, creativity and expertise, both in France and throughout the world. Our House is an open and highly-focused collective, a leader that thrives on the creativity of all its stakeholders. Our collective passion and our heritage, full of authenticity and dream, make us move forward and reinvent ourselves.

By revolutionizing the codes of French style and luxury through perfumes, and combining tradition with daring makeup and innovative skincare, we are reinventing every day the Dior style and its compelling, joyful and absolute beauty. Our stimulating missions give our employees the opportunity to develop new skills, overcome spectacular challenges and reveal their talent.

To go further, with Dior.

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