Retail Analytics Intern — Drive Store Performance

LVMH; Singapore; Hybrid; SGD 20,000 - 29,000; Full time

Job summary

Parfums Christian Dior is offering a six-month full-time internship in Singapore for an analytics-minded candidate to support retail and commercial teams, translating data into actions that improve store execution.

You will prepare weekly and monthly performance summaries, track KPIs, and present insights in meetings. Proficiency in Excel (Pivot Tables, Power Query) and Power BI is required; Python/R is a bonus.

Qualifications

• Bachelor’s degree in Business, Economics, Finance or related field.
• Strong Excel skills (Pivot Tables, Power Query) and Power BI.
• Analytical thinker with ability to manage multiple workstreams.
• Excellent communication with stakeholders.

Responsibilities

• Prepare weekly/monthly performance summaries (sell-out, productivity, door performance) with commentary and action points.
• Track key retail KPIs and follow up on initiatives (e.g., staffing productivity, stock availability, promo execution).
• Present insights in weekly commercial/retail meetings; ensure actions are documented and closed.
• Support expense tracking vs budget and last year; highlight variances and drivers.
• Assist with simple ROI/business case inputs for door investments/renovations (with guidance).
• Support market research on trends, customer preferences, and competitor activity in travel retail beauty.
• Analyze performance across countries/doors (sales, margin/profitability, expense efficiency) and highlight opportunities/risks.
• Help define and track commercial KPIs and contribute to weekly commercial meeting materials (insights, recommendations, actions).

Skills

Analytical thinking

Strong communication skills

Education

Bachelor’s degree in Business, Economics, Finance or related field

Tools

Excel

Pivot Tables

Power Query

Power BI

PowerPoint

Job description

Parfums Christian Dior is offering a six-month full-time internship in Singapore for an analytics-minded candidate to support retail and commercial teams, translating data into actions that improve store execution.

You will prepare weekly and monthly performance summaries, track KPIs, and present insights in meetings. Proficiency in Excel (Pivot Tables, Power Query) and Power BI is required; Python/R is a bonus.