Supply Chain Data & Analytics Intern

SG03 Richemont Luxury (Singapore) Pte Ltd; Singapore; On-site; SGD 13,000 - 18,000; Full time

Job summary

Richemont Luxury Singapore offers a Supply Chain Intern position to gain hands-on experience in data analysis, project management, and operational support. You will work with SAP, Excel, Power BI and Looker to visualize KPIs and drive data-driven decisions.

You are pursuing a Bachelor's or Master's in Supply Chain or Engineering with Python/SQL basics, strong analytical skills, and fluent English. The role involves collaboration with SEAO Ops and exposure to inventory control and SAP ERP testing.

Qualifications

• Pursuing a Bachelor's or Master's degree in Supply Chain, Engineering, or a related field
• Familiarity with Python and SQL is essential
• Strong analytical skills to handle large data sets and present findings concisely
• Excellent Excel skills; data visualization tools are a plus
• Good organizational, communication, and problem-solving abilities
• Fluent in English; Asian language skills are a plus for collaboration with SEAO team

Responsibilities

• Data Analysis & Reporting: extract, cleanse, analyze datasets; develop dashboards with Power BI/Looker; use Python for data manipulation and automation
• Assist with project management, meeting coordination, and action-item documentation; support SAP ERP testing and upgrades; collaborate to improve supply chain processes

Skills

Python/SQL

Analytical thinking

Data visualization

Excel proficiency

Communication

Attention to detail

SAP familiarity

FLUENT English

Education

Bachelor's/Master's in Supply Chain or Engineering

Tools

SAP

Excel

Power BI

Looker

Python

SQL

Job description

Richemont Luxury Singapore offers a Supply Chain Intern position to gain hands-on experience in data analysis, project management, and operational support. You will work with SAP, Excel, Power BI and Looker to visualize KPIs and drive data-driven decisions.

You are pursuing a Bachelor's or Master's in Supply Chain or Engineering with Python/SQL basics, strong analytical skills, and fluent English. The role involves collaboration with SEAO Ops and exposure to inventory control and SAP ERP testing.