Logistics Data Analyst

Position Overview

We are seeking a detail-oriented Logistics Data Analyst to support operational decision-making across the Logistics Department. This role is responsible for turning raw data into reliable, actionable insights that support financial visibility, KPI tracking, dashboard reporting, project validation, and operational improvements. The ideal candidate combines strong analytical skills with the ability to investigate discrepancies, ensure data accuracy, and communicate findings clearly.

Responsibilities

• Data Analysis & Decision Support: Analyze operational data, translate business questions into meaningful insights, and validate proposed process changes and improvement opportunities using actual performance data.

• P&L & Cost Analysis: Analyze logistics costs, shipment economics, billing trends, cost variances, savings opportunities, and the financial impact of operational changes.

• KPI & Dashboard Management: Build, maintain, and improve operational dashboards, KPI reports, and department scorecards. Ensure metrics are clearly defined, accurate, and reliable.

• Project & Performance Analysis: Support logistics projects and process improvements through root-cause analysis, performance tracking, ROI modeling, and pre- and post-launch evaluations.

• Data Integrity: Investigate discrepancies across systems, validate data accuracy, document calculations and assumptions, and coordinate with relevant stakeholders to resolve data quality issues.

• Reporting & Analysis: Prepare recurring reports and respond to urgent, one-time data requests while ensuring accuracy and timely delivery.

• Cross-Functional Collaboration: Work with Logistics, Warehouse, Technology, Finance, and other departments to understand business needs and provide actionable analysis.

• Communication & Recommendations: Present findings in clear, practical language, explaining key trends, their business impact, and recommended next steps.

Qualifications

• Strong analytical skills and experience collecting, cleaning, organizing, and interpreting operational or financial data.

• Advanced Excel skills and comfort working with large datasets.

• Experience with reporting, dashboarding, or BI tools such as Power BI, Tableau, ThoughtSpot, SQL-based reports, or similar platforms.

• Ability to explain data logic and findings in clear business language.

• Strong attention to detail and accuracy, particularly when supporting financial and operational decisions.

• Ability to collaborate with cross-functional stakeholders and identify the underlying business needs behind data requests.

• Strong organizational skills and follow-through, with the ability to manage recurring reports, urgent requests, and project-based analysis.

• Experience investigating data discrepancies across multiple systems.

Preferred Qualifications

• Experience in logistics, supply chain, transportation, warehouse operations, or manufacturing.

• Familiarity with TMS, WMS, ERP, shipping, routing, carrier, billing, or order-management data.

• SQL or database-query experience.