Data Analyst - Transportation Visibility, Analytics & Data Solutions

As a Senior Data Analyst - Transportation Visibility, Analytics & Data Solutions, you will be responsible for supporting transportation analytics, reporting, shipment visibility, and data quality initiatives across RXO’s transportation network. You will partner with operations, business stakeholders, data engineers, and technology teams to analyze transportation data, identify trends and opportunities, improve data quality, and deliver actionable insights that drive operational and strategic decision-making. This role will also support the advancement of next-generation analytics capabilities through the adoption of Databricks, AI-enabled analytics, intelligent automation, and emerging technologies that enhance transportation visibility, operational performance, and business outcomes.

What your day-to-day will look like:

• Analyze transportation, shipment, and operational datasets to identify trends, exceptions, and opportunities that support business and operational objectives
• Support transportation visibility initiatives through data analysis, testing, validation, troubleshooting, and continuous improvement efforts
• Develop and maintain SQL queries, datasets, and analytical models to support reporting, automation, and operational decision-making
• Create and maintain dashboards, KPIs, scorecards, and reporting solutions using Power BI and related analytics tools
• Identify and resolve data quality issues while supporting data governance and master data management initiatives
• Collaborate with operations, technology, engineering, and business teams to define reporting requirements, metrics, and visibility solutions
• Support root cause analysis and issue resolution involving transportation data, shipment visibility, integrations, and operational reporting
• Assist with user acceptance testing, data validation, system implementations, and deployment activities for transportation technology initiatives
• Document business requirements, reporting logic, data definitions, and process flows
• Explore opportunities to leverage Databricks, AI-enabled analytics, automation, and emerging technologies to improve visibility, performance, and business insights

What your day-to-day will look like:

• Analyze transportation, shipment, and operational datasets to identify trends, exceptions, and opportunities that support business and operational objectives
• Support transportation visibility initiatives through data analysis, testing, validation, troubleshooting, and continuous improvement efforts
• Develop and maintain SQL queries, datasets, and analytical models to support reporting, automation, and operational decision-making
• Create and maintain dashboards, KPIs, scorecards, and reporting solutions using Power BI and related analytics tools
• Identify and resolve data quality issues while supporting data governance and master data management initiatives
• Collaborate with operations, technology, engineering, and business teams to define reporting requirements, metrics, and visibility solutions
• Support root cause analysis and issue resolution involving transportation data, shipment visibility, integrations, and operational reporting
• Assist with user acceptance testing, data validation, system implementations, and deployment activities for transportation technology initiatives
• Document business requirements, reporting logic, data definitions, and process flows
• Explore opportunities to leverage Databricks, AI-enabled analytics, automation, and emerging technologies to improve visibility, performance, and business insights

• 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

Compensation for this role is $73,976 - $92,470 The role may also be eligible for bonus or commission pay. Actual compensation may vary due to factors such as experience and skill set., * 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

Our Culture

Our values are the key to our unique culture and our ability to deliver for everyone we serve.

We do great things when we are inclusive and work together. To perform with excellence, we learn from one another, value diverse perspectives, operate safely and build strong relationships.

RXO is a leading provider of transportation solutions. With cutting-edge technology at the center, we’re revolutionizing the industry with our massive network and commitment to finding solutions for every challenge. We create more efficient ways for shippers and carriers to transport goods across North America.