Global Senior Customs Data Analytics Specialist

• 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