Logistics Data Analyst — Associate

Mitsubishi Power Americas

Florida

On-site

USD 25,000 - 39,000

Part time

5 days ago
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Job summary

Mitsubishi Power Americas is seeking an Associate Analyst, Logistics Intern to support supply chain logistics activities and analytics. You will work across category management, operations, and data systems to help drive insights and improve performance.

The role provides hands-on experience with data analysis, KPI development, and reporting tools while collaborating with Logistics teams to learn end-to-end processes and cost forecasting in a dynamic energy environment.

Qualifications

  • Currently enrolled in a bachelor’s degree program at a four-year accredited college or university
  • Degree preferences include Engineering, Supply Chain, Business Analytics, Economics, International Business

Responsibilities

  • Collect, clean up, and review data to uncover patterns, risks, and trends for informed logistics decisions
  • Assist with invoice approval status reports
  • Maintain and coordinate development of logistics KPIs and dashboards
  • Support data analysis projects and collaborate on larger initiatives
  • Review business processes end-to-end to identify efficiency gaps and risks
  • Collect and analyze supplier costs, forecasts, and historical data for decision making
  • Prepare training materials for business systems and processes
  • Perform other duties as required

Skills

Data analysis
Attention to detail
Communication
Team collaboration

Education

Bachelor's degree program

Tools

Power BI
Excel
Power Apps
Tableau

Job description

Mitsubishi Power Americas is seeking an Associate Analyst, Logistics Intern to support supply chain logistics activities and analytics. You will work across category management, operations, and data systems to help drive insights and improve performance.

The role provides hands-on experience with data analysis, KPI development, and reporting tools while collaborating with Logistics teams to learn end-to-end processes and cost forecasting in a dynamic energy environment.

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