E‑Commerce Analytics & Merchandising Intern

Celine; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

CELINE in Singapore is seeking an E-commerce Intern to support SEA digital business through e-merchandising, performance analysis and reporting automation. You will help create visually consistent, brand-true online experiences while applying data insight to inform commercial decisions across e-commerce and omnichannel activity.

Work will include building dashboards, analysing weekly results, and translating data into clear findings for stakeholders at HQ and stores.

Qualifications

• Strong analytical and data interpretation skills.
• Ability to translate data into actionable insights.
• Comfortable working with cross-functional teams.

Responsibilities

• Apply e-visual merchandising rules across digital categories, carousels, and homepage slots.
• Support creation of landing pages, gift guides, and banners aligned with calendars.
• Execute cross-selling, upselling, and promotional displays per plans.
• Analyze weekly and monthly e-commerce performance across traffic, conversion, sales, and AOV.
• Consolidate data from sources to produce recurring performance reports.
• Build and maintain dashboards to monitor KPIs and highlight trends.
• Support ad hoc analysis on performance, customer behaviour, and category evolution.
• Assist in preparing insight reports for HQ and stores and for trading discussions.
• Translate raw data into clear findings, visuals, and recommendations.
• Identify best sellers and merchandising opportunities through data review.
• Support recommendations on visibility, cross-selling, and assortment optimization.

Skills

Analytical thinking

Problem solving

Structured communication

Tools

Excel/Sheets

Power BI

Tableau

Looker Studio

Job description

CELINE in Singapore is seeking an E-commerce Intern to support SEA digital business through e-merchandising, performance analysis and reporting automation. You will help create visually consistent, brand-true online experiences while applying data insight to inform commercial decisions across e-commerce and omnichannel activity.

Work will include building dashboards, analysing weekly results, and translating data into clear findings for stakeholders at HQ and stores.