Data Analytics & Project Management Intern, Travel Retail at LVMH

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Project Management, Excel, Power Query, Power Pivot, Power BI, Python, Data Visualization, Data Governance, Process Automation, Reporting, Data Engineering, Communication, Detail-oriented, Organization

Industry

Retail Luxury Goods and Jewelry

Description

Company Description 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. Job Description 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 Qualifications 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 Additional Information 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? Job Category: Business Analytics

Responsibilities

The intern will drive process efficiency by automating reporting and improving data workflows through standardized datasets and dashboards. They will also support data governance, maintain backend datasets, and provide documentation for new automated processes.