Merchandising Intern

PRADA SINGAPORE PTE. LTD.; Singapore; On-site; SGD 13,000 - 22,000; Full time

Job summary

Prada Singapore Pte. Ltd. is seeking a detail-oriented Merchandising Intern to support the South Asia Merchandising team in data preparation, stock coordination with stores, and reporting. The role emphasizes advanced Excel skills and the use of AI tools to streamline workflows.

The ideal candidate will assist in building complex Excel workbooks, maintaining trackers, and generating insightful merchandising data for planning and decision-making across stores in the region.

Qualifications

• Excellent Excel skills, comfortable building complex files with formulas and pivot tables.
• Experience or strong interest in using AI tools to assist with Excel and data tasks.
• Strong attention to detail and accuracy when handling data.
• Good communication skills, able to coordinate clearly with stores and internal teams.
• Organized, reliable, and able to manage multiple requests at once.

Responsibilities

• Build and maintain complex Excel files, including multi-tab workbooks, advanced formulas, pivot tables, data summaries, trackers, and dashboards.
• Generate, organize, and validate merchandising data to support business analysis and planning.
• Communicate with stores to collect stock requests and relay them to the merchandising team.
• Support stock allocation, transfer, replenishment, and inventory-related coordination when required.
• Maintain accurate and well-organized files, trackers, reports, and shared documents.
• Assist the merchandising team with other day-to-day operational and administrative tasks.
• Use AI tools to speed up and improve Excel work - generating templates, cleaning data, writing formulas, and automating repetitive tasks.

Skills

Excel expertise

AI tools usage

Data accuracy

Communication

Organization

Tools

AI tools

Job description

About theRole

We're looking for a detail-oriented and tech-savvy Merchandising Intern to support the South Asia Merchandising team.

The ideal candidate will have excellent Excel skills, including the ability to build and manage complex workbooks, and a good understanding of using AI tools to improve workflow efficiency. The role will support data preparation, stock-related coordination with stores, and regular and ad-hoc reporting.

Key Responsibilities

• Build and maintain complex Excel files, including multi-tab workbooks, advanced formulas, pivot tables, data summaries, trackers, and dashboards.
• Generate, organize, and validate merchandising data to support business analysis and planning.
• Communicate with stores to collect stock requests and relay them to the merchandising team.
• Support stock allocation, transfer, replenishment, and inventory-related coordination when required.
• Maintain accurate and well-organized files, trackers, reports, and shared documents.
• Assist the merchandising team with other day-to-day operational and administrative tasks.
• Use AI tools to speed up and improve Excel work - generating templates, cleaning data, writing formulas, and automating repetitive tasks.

Requirements

• Excellent Excel skills - comfortable building complex files with formulas and pivot tables.
• Experience or a strong interest in using AI tools to assist with Excel and data tasks.
• Strong attention to detail and accuracy when handling data.
• Good communication skills, able to coordinate clearly with stores and internal teams.
• Organized, reliable, and able to manage multiple requests at once.

Nice to Have

• Prior internship or work experience in retail, merchandising, or supply chain.
• Familiarity with reporting or data visualization tools.
• Basic understanding of retail operations and stock management.
• Interest in luxury fashion and retail.

What You'll Gain

• hands-on experience in luxury retail merchandising and data operations.
• Exposure to stock management, reporting, planning, and coordination across stores.
• Practical experience using Excel and other tools to support retail business.
• An understanding of how merchandising decisions are supported by data and translated into store actions