Global Freight Data & Cost Optimization Analyst

NetApp

Mexico

Hybrid

PHP 5,329,000 - 6,897,000

Full time

28 hours ago
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Job summary

NetApp is seeking a Freight Data Analyst within our Global Procurement organization. You will collaborate with logistics managers, auditors, and contract manufacturers to optimize worldwide freight costs and service levels.

You will turn data into insights, build scalable analytics, review EMS partner settlements, and identify consolidation opportunities without compromising customer expectations. Proficiency in Excel, Power BI, and cross-functional teamwork is essential.

Qualifications

  • Minimum of 5 years combined experience in Supply Chain, Logistics, Operations, or Manufacturing Finance.
  • Detail-oriented with strong analytical, problem-solving, negotiation, and organizational skills.
  • Self-directed with proven ability to prioritize and multi-task in a dynamic, rapidly changing environment.
  • Ability to turn data into insights and recommendations using data analytics to support decisions.
  • Excellent verbal and written communication skills including presenting to senior management.

Responsibilities

  • Review air freight service levels and transit-time performance and implement corrective actions.
  • Validate billed costs against carrier data and identify savings opportunities with EMS partners.
  • Develop global metrics to monitor logistics operations and drive cost efficiency.
  • Collaborate across Logistics, EMS Partner Managers, IT, Finance, and other teams to drive improvements.

Skills

Data analysis
Power BI
Excel
Power Query
Communication
Collaboration
Project management
AI tools

Education

Bachelor's degree in Business, Supply Chain, or Operations
MBA

Tools

Power BI
Power Query
Microsoft Excel
PowerPoint
Copilot AI

Job description

NetApp is seeking a Freight Data Analyst within our Global Procurement organization. You will collaborate with logistics managers, auditors, and contract manufacturers to optimize worldwide freight costs and service levels.

You will turn data into insights, build scalable analytics, review EMS partner settlements, and identify consolidation opportunities without compromising customer expectations. Proficiency in Excel, Power BI, and cross-functional teamwork is essential.

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