Supply Chain Data Analytics Intern

Richemont Iberia SL; Singapore; On-site; SGD 10,000 - 13,000; Full time

Job summary

Richemont Iberia SL is seeking a Supply Chain Intern to gain hands-on experience in data analysis, project management, and operational support within a dynamic supply chain environment.

You will extract and analyze data from SAP and Excel, build dashboards in Power BI and Looker, and automate reporting with Python. Collaboration with cross-functional teams will drive process improvements and data-driven decisions.

Qualifications

• Pursuing a Bachelor's or Master's degree in Supply Chain, Engineering, or related field.
• Familiarity with Python and SQL is essential.
• Strong analytical skills to interpret large data sets and present findings clearly.

Responsibilities

• Extract, cleanse, and analyze large datasets from various sources (SAP, Excel, internal databases).
• Develop and maintain interactive dashboards and reports using Power BI and Looker to visualize KPIs.
• Use Python for data manipulation and automation of reporting processes.
• Present data insights and recommendations to support data-driven decisions.
• Contribute to data models to ensure accuracy and consistency.
• Support preparation of business presentations for management reviews.
• Assist with project management, including timelines and action items.
• Participate in SAP ERP testing and improvements.
• Collaborate with SEAO teams to improve supply chain processes.
• Assist with inventory control, quality checks, reconciliations, and discrepancies.

Skills

Python

SQL

Excel

Data analysis

Data visualization

Communication

Problem-solving

SAP familiarity

Education

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

Tools

Power BI

Looker

SAP

Job description

Richemont Iberia SL is seeking a Supply Chain Intern to gain hands-on experience in data analysis, project management, and operational support within a dynamic supply chain environment.

You will extract and analyze data from SAP and Excel, build dashboards in Power BI and Looker, and automate reporting with Python. Collaboration with cross-functional teams will drive process improvements and data-driven decisions.