Supply Chain Data & Process Re-engineering Intern

SmartRecruiters, Inc.; Singapore; On-site; SGD 13,000 - 26,000; Full time

Job summary

LVMH Fragrance and Cosmetic invites applications for a Supply Chain Process and Re-engineering Intern. You will join the Supply Chain project team and gain hands-on experience in a leading luxury cosmetics company.

Your focus will be data analysis, optimization, and supporting business process owners to improve efficiency. The role emphasizes collecting, analyzing, and interpreting data to optimize supply chain processes, with potential for ad hoc data-driven projects and opportunities to

Qualifications

• Currently pursuing a degree in engineering, supply chain management, or a related field.
• 6 months internship from Jan 2027 to Jun 2027.
• Strong analytical and problem-solving skills.
• Proficiency in Power Query, Power BI, Power Pivot and data analysis tools.
• Effective communication and teamwork skills.
• Detail-oriented with a high level of accuracy.
• Self-motivated and eager to learn.
• Anaplan / SAP / SQL is a plus.

Responsibilities

• Data Crunching: analyze large data sets to identify trends.
• Communication and Coordination: foster cross-department collaboration.
• Master Data Processing: input and maintain product data and reports.
• Process Documentation and Improvement: document and propose improvements.

Skills

Analytical skills

Communication

Teamwork

Attention to detail

Self-motivation

Education

Engineering or related field (in progress)

Tools

Power BI

Power Query

Power Pivot

SQL

Anaplan

SAP

Job description

LVMH Fragrance and Cosmetic invites applications for a Supply Chain Process and Re-engineering Intern. You will join the Supply Chain project team and gain hands-on experience in a leading luxury cosmetics company.

Your focus will be data analysis, optimization, and supporting business process owners to improve efficiency. The role emphasizes collecting, analyzing, and interpreting data to optimize supply chain processes, with potential for ad hoc data-driven projects and opportunities to