Corporate Logistics Data Analyst

The Corporate Logistics Data Analyst analyzes transportation and supply-chain data to improve cost, service, and operational performance. The role also administers the transportation management system (TMS), supporting configuration, data quality, user access, integrations, and issue resolution.

• Analyze transportation, warehouse, order, and financial data to identify trends, exceptions, and improvement opportunities.
• Build and maintain dashboards, reports, and scorecards for metrics such as freight spend, on-time delivery, transit time, tender acceptance, carrier performance, and claims.
• Investigate service and cost variances; identify root causes and recommend corrective actions.
• Support freight budgeting, invoice analysis, cost allocation, and savings tracking.
• Administer the TMS, including user roles and permissions, reference data, carrier and service-level records, routing guides, rate tables, and business rules.
• Maintain TMS configuration and workflows; test and document changes before release.
• Monitor TMS integrations and data flows with ERP, warehouse, order-management, carrier, and finance systems; coordinate troubleshooting with IT and vendors.
• Resolve user questions and system issues, document resolutions, and provide training and guidance to TMS users.
• Audit TMS data and transactions for accuracy, completeness, and policy compliance.
• Partner with transportation, procurement, warehouse, finance, and technology teams on system enhancements and process improvements.
• Present findings and recommendations to operational teams and leadership.

• Bachelor’s degree in logistics, supply chain management, business analytics, information systems, or a related field—or equivalent experience.
• Experience analyzing transportation, logistics, or supply-chain data.
• Experience administering or supporting a TMS, such as maintaining configuration, reference data, user access, or system workflows.
• Proficiency with Excel and Access.
• Working knowledge of SQL.
• Strong analytical, troubleshooting, documentation, and communication skills.

• Proficiency with Google Workspace, including Gmail, Drive, Docs, Sheets, and Calendar.
• Experience evaluating, implementing, or integrating AI tools and solutions into logistics or transportation processes.
• Familiarity with ERP, WMS, EDI/API integrations, carrier operations, and freight payment processes is an advantage.
• Proficiency with visualization tools such as Power BI or Tableau.
• Working knowledge of Python, R, or similar tools.

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