Supply Chain Data Analyst Co-op (Hybrid)

msd

Singapore

Hybrid

SGD 20,000 - 27,000

Part time

8 days ago
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Job summary

MSD Singapore is offering an internship in the distribution and logistics data analytics team. You will assist the team with data collection, coordinate with internal and external providers, and support forecast processes.

Responsibilities include updating material master data, building dashboards and Power BI reports, performing data cleansing in Freight Spend, and helping with month-end accruals and reports in Excel using Python.

Qualifications

  • Bachelor's degree or equivalent required.
  • Internship/Co-op eligible for Jan 2027 intake.
  • Strong analytical and communication skills.

Responsibilities

  • Update material master data with shipping matrix to support PP/Forecast.
  • Support month-end accruals.
  • Enhance reports (PP vs Forecast vs Actual; Bulk: PP vs Forecast; Bulk: GR vs IR) using Python scripts for monthly reporting and forecast reporting in Excel reports.
  • Build dashboard for volume & budget forecast and actual comparison.
  • Publish reports in Power BI for management review.
  • Facilitate investigation on outliers.
  • Update user guide.

Skills

Clinical Supply Chain Management
Cross-Functional Communications
Dashboard Creation
Dashboards Design
Data Analysis
Data Collection Methods
Distribution Management
Driving Continuous Improvement
Freight Management
Inventory Control Management
Logistics
Logistics Coordination
Logistics Management
Production Planning
Supply Chain Coordination
Supply Chain Metrics
Proposal Review
Life Cycle Logistics

Education

Bachelor's or equivalent

Tools

Python
Power BI
Excel

Job description

MSD Singapore is offering an internship in the distribution and logistics data analytics team. You will assist the team with data collection, coordinate with internal and external providers, and support forecast processes.

Responsibilities include updating material master data, building dashboards and Power BI reports, performing data cleansing in Freight Spend, and helping with month-end accruals and reports in Excel using Python.

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