Retail Analytics Intern: Performance Insights & Strategy

Inside Lvmh; Singapore; On-site; SGD 20,000 - 36,000; Full time

Job summary

Parfums Christian Dior in Singapore invites a 6-month full-time internship focused on retail performance analysis. You will translate data into actionable insights, support weekly and monthly performance reporting, and collaborate with commercial stakeholders to optimize door-level execution.

The role requires strong Excel skills, Power BI, and a structured, analytic mindset. A Bachelor’s degree in a related field is required; Python/R is a plus.

Qualifications

• 6 months full-time internship from Jan 2027 to Jun 2027.
• Bachelor’s degree in Business, Economics, Finance or related field.
• Strong Excel skills with Pivot Tables and Power Query.
• Experience with Power BI and PowerPoint.
• Analytical thinker with structured problem solving and multi-workstream management.
• Excellent communication with commercial stakeholders.
• Python/R is a bonus.

Responsibilities

• Prepare weekly/monthly performance summaries with commentary and action points.
• Track key retail KPIs and follow up on initiatives.
• Present insights in weekly meetings; ensure actions are documented.
• Support expense tracking vs budget and last year; highlight variances.
• Assist with ROI inputs for door investments/renovations.
• Support market research on trends and competitor activity in travel retail beauty.
• Analyze performance across countries/doors and highlight opportunities/risks.
• Help define and track commercial KPIs and generate insights for meetings.

Skills

Analytical thinking

Structured problem solving

Communication skills

Multitasking

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 in Singapore invites a 6-month full-time internship focused on retail performance analysis. You will translate data into actionable insights, support weekly and monthly performance reporting, and collaborate with commercial stakeholders to optimize door-level execution.

The role requires strong Excel skills, Power BI, and a structured, analytic mindset. A Bachelor’s degree in a related field is required; Python/R is a plus.