Global Logistics Analytics Specialist

Copeland

Quezon City

On-site

PHP 420,000 - 660,000

Full time

3 days ago
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Job summary

Copeland Philippines is seeking a Spend Logistics Analyst to manage the global freight payment/audit process and develop program metrics. You will collaborate with global teams to resolve invoice issues, ensure timely payments, and drive process improvements across the supply chain.

Strong Excel/Power BI skills and experience in data analytics are essential. The role requires 2 years experience in Supply Chain/Logistics, Finance, or Data Analytics, with excellent communication to coordinate with

Qualifications

  • BS degree in business, engineering, computer science, accounting or related field.
  • Minimum 2 years of professional experience in supply chain/logistics, finance, or data analytics.
  • Demonstrated root-cause analysis and issue-resolution skills.
  • High proficiency with Microsoft Excel, PowerPoint, and Word.
  • Proficiency with data reporting tools like Power BI or Sigma.
  • Excellent interpersonal communication for global program management.

Responsibilities

  • Actively manage and resolve payment queues to ensure timely approvals and issue resolution.
  • Engage with Copeland Global and third-party payment systems to fix invoice/process issues.
  • Ensure payment terms are consistently achieved and accurate.
  • Collaborate with operations to streamline freight audit and payment processes.
  • Identify opportunities for business process automation.

Skills

Root Cause Analysis
Interpersonal communication
Team collaboration
English communication

Education

BS Degree in Business, Engineering, Computer Science, Accounting or related field

Tools

Microsoft Excel
Power BI
Sigma
PowerPoint
Word

Job description

Copeland Philippines is seeking a Spend Logistics Analyst to manage the global freight payment/audit process and develop program metrics. You will collaborate with global teams to resolve invoice issues, ensure timely payments, and drive process improvements across the supply chain.

Strong Excel/Power BI skills and experience in data analytics are essential. The role requires 2 years experience in Supply Chain/Logistics, Finance, or Data Analytics, with excellent communication to coordinate with

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