Responsibilities of the Candidate:

Partner with global Trade Compliance and Operations teams to support adherence to international trade regulations
Prepare, validate, and maintain documentation required for global trade compliance and shipment processing
Contribute to audit readiness activities and support compliance monitoring efforts
Collaborate with cross-functional stakeholders to resolve trade-related challenges effectively
Develop certification documentation for approval by global trade leadership
Engage with suppliers to assess eligibility and compliance with Free Trade Agreement (FTA) requirements
Design and maintain dashboards, scorecards, and KPI reports using Power BI and Excel
Deliver accurate and timely supply chain reports with a focus on on-time delivery and error-free outputs
Analyze sourcing, purchasing, and supplier performance data to identify trends and improvement opportunities
Generate insights on key metrics such as on-time delivery, defects per million, spend, lead time, and cost savings
Ensure data quality, integrity, and governance across systems and reporting platforms
Build data models and automate reporting processes to enhance efficiency
Integrate data from enterprise systems including ERP platforms
Drive continuous improvement in analytics frameworks and reporting capabilities
Support strategic planning initiatives by providing data-driven insights to leadership

Requirements:

Bachelor's degree in Supply Chain Management, Engineering, Operations, or a related field (or equivalent experience)
Experience working in supply chain analytics, trade compliance, operations, or procurement environments
Strong proficiency in Microsoft Excel, including Power Query, Pivot Tables, Power Pivot, and VBA
Hands-on experience with Power BI for data visualization and reporting
Knowledge of data modeling and DAX
Experience working with SQL and understanding of ETL concepts
Strong analytical thinking and problem-solving capabilities
Ability to work collaboratively across global teams and manage multiple priorities

Exposure to Python (e.g., Pandas, NumPy) for data analysis
Familiarity with ERP systems such as SAP or Oracle
Experience with Power Apps and Power Automate
Understanding of digital transformation initiatives in supply chain or manufacturing
Experience working with advanced analytics tools or automation frameworks
Awareness of Microsoft 365 Copilot capabilities in analytics workflows