Logistics Data Analyst: E‑commerce & Carrier Performance

Universal Music Group

Woodland (CA)

On-site

USD 46,000 - 75,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision coverage
Wellbeing reimbursements
Student loan repayment assistance
Tuition reimbursement
401(k) with immediate vesting
Flexible PTO

Job summary

Universal Music Group is seeking a Logistics Data Analyst in Woodland Hills, CA to support e-commerce and retail operations with analytics on distribution and transportation. You will create reports and analyze data to drive cost and performance improvements across the supply chain.

The role requires strong Excel and SQL skills, experience with data cleansing, and familiarity with TMS or order management systems.

Qualifications

  • 3 years’ experience in an analytical role focusing on data cleansing, analysis, problem resolution and delivering results.
  • Advanced Excel skills and familiarity with Access and SQL.
  • Experience with reporting and data extraction tools.
  • Understanding of order management, distribution, and transportation processes.

Responsibilities

  • Prepare and publish daily, weekly, and monthly reports.
  • Analyze data to identify supply chain improvements in cost and performance.
  • Prepare carrier rate tables and support RFPs, carrier utilization strategies.
  • Support Transportation Team with on-time performance reporting and freight spend analysis.
  • Track shipments during peak periods.

Skills

Data analysis
Excel
SQL
Attention to detail
Teamwork

Education

Bachelor’s Degree in IT/Business/Supply Chain/Logistics

Tools

Transport Management System (TMS)
Order Management System

Job description

Universal Music Group is seeking a Logistics Data Analyst in Woodland Hills, CA to support e-commerce and retail operations with analytics on distribution and transportation. You will create reports and analyze data to drive cost and performance improvements across the supply chain.

The role requires strong Excel and SQL skills, experience with data cleansing, and familiarity with TMS or order management systems.

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