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Global Senior Customs Data Analytics Specialist (Supply Chain)

Kuala Lumpur Permanent MYR65,000 - MYR144,000 per year Work from Home or Hybrid View Job Description
This role sits within a global customs function and focuses on customs data analytics, KPI management, dashboard reporting, and performance insights across international operations. Working closely with Customs, Supply Chain, Business Units, and Digital teams, you will be responsible for transforming large volumes of customs and trade-related data into actionable insights that support compliance monitoring,
  • Hybrid (3+2 Days Work From Home) | Flexibility
  • Global MNC | KPI Management

About Our Client

A globally established multinational organization (Manufacturing Industry) with a highly integrated international supply chain and trade network supporting operations across multiple regions worldwide. As part of its ongoing global transformation journey, the organization is investing heavily in data-driven customs operations, analytics capabilities, and performance management to improve visibility, compliance, and decision-making across its global customs landscape.

Job Description

  • Manage, validate, and maintain customs-related data to ensure accuracy, consistency, and reporting integrity
  • Perform data analysis to identify trends, risks, performance gaps, and improvement opportunities
  • Develop and maintain KPI reporting, scorecards, dashboards, and management reports
  • Support customs and duty-related analysis, including cost-saving and optimization initiatives
  • Collaborate with Customs, Supply Chain, Business Units, and Digital teams to improve reporting capabilities and data quality
  • Prepare analytical insights and business recommendations for regional and global stakeholders
  • Support dashboard enhancements, automation initiatives, and reporting standardization efforts
  • Monitor customs performance metrics and support data-driven decision-making
  • Participate in continuous improvement and customs transformation initiatives

The Successful Applicant

A successful Customs Data Analytics Specialist (Supply Chain) should have:

  • Bachelor's Degree in Supply Chain, Business Analytics, Engineering, Data Analytics, Business Administration, or related disciplines
  • Minimum 5 years of experience in Customs, Trade Compliance, Supply Chain Analytics, Reporting, Performance Management, or related functions
  • Strong experience working with large datasets, reporting, KPI management, and business analysis
  • Advanced Excel skills with the ability to manipulate, analyze, and present data effectively
  • Strong analytical thinking, problem-solving, and data interpretation capabilities
  • Good understanding of customs operations, trade compliance, or supply chain processes
  • Experience with Power BI, SAP, SAP GTS, or other reporting tools would be advantageous



What's on Offer

  • Competitive salary package
  • Performance-based rewards
  • Hybrid working arrangement
  • Comprehensive medical and insurance coverage
  • Exposure to global customs operations and international trade activities
  • Opportunity to work with large datasets and high-visibility business reporting
  • Participation in analytics, automation, and digital transformation initiatives
  • Structured learning and professional development opportunities
  • Regional and global stakeholder exposure
Contact
Kai Jiunn Liong
Quote job ref
JN-072026-7073467
Phone number
+603 2302 4071

Job summary

Function
Procurement & Supply Chain
Specialisation
Logistics - Manufacturing
What is your area of specialisation?
Industrial / Manufacturing
Location
Kuala Lumpur
Contract Type
Permanent
Consultant name
Kai Jiunn Liong
Consultant contact
+603 2302 4071
Job Reference
JN-072026-7073467
Work from Home
Work from Home or Hybrid

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.