Senior Data Analyst – Transportation Visibility, Analytics & Data Solutions

Role Overview

Support transportation analytics, reporting, shipment visibility, and data quality initiatives across RXO’s transportation network. Partner with operations, business stakeholders, data engineers, and technology teams to analyze transportation data, identify trends and opportunities, and deliver actionable insights.

What You Will Do

Analyze transportation, shipment, and operational datasets to identify trends, exceptions, and opportunities. Develop and maintain SQL queries, datasets, and analytical models to support reporting, automation, and operational decision-making.

Why It Might Be a Fit

The role requires experience with Databricks, cloud-based analytics platforms, data lakes, or modern data architectures, and familiarity with AI, Generative AI, Microsoft Copilot, or AI-assisted analytics solutions.

Requirements

• Experience with Databricks, cloud-based analytics platforms, data lakes, or modern data architectures
• Familiarity with AI, Generative AI, Microsoft Copilot, or AI-assisted analytics solutions
• Experience with transportation, logistics, warehouse, or supply chain data and reporting
• Experience supporting transportation visibility, shipment tracking, operational analytics, or performance reporting programs
• Experience with Oracle Transportation Management (OTM), Transportation Management Systems (TMS), or related logistics technology platforms
• Knowledge of EDI transactions, APIs, transportation events, and system integrations
• Experience with data warehousing, ETL processes, data modeling, or enterprise data platforms
• Experience with Python, Power Automate, or other automation and analytics tools
• Understanding of how AI and automation can improve transportation visibility, exception management, operational reporting, and business decision-making

Benefits

• Comprehensive medical, dental, and vision plans
• 401(k) retirement plan with up to 5% company match
• Pre-tax accounts to help streamline eligible expenses
• Company-paid disability and life insurance
• Employee Assistance Program (EAP)
• Career and Leadership Development Programs
• Paid time off, company holidays, and volunteer days

Tagged as: Data Analysis, Power Automate, Python, SQL