Senior Data Analyst – Transportation Visibility, Analytics & Data Solutions
About The Position
RXO is seeking a Senior Data Analyst to support transportation analytics, reporting, shipment visibility, and data quality initiatives across its transportation network. The role partners with operations, business stakeholders, data engineers, and technology teams to analyze transportation data, identify trends and opportunities, improve data quality, and provide insights for operational and strategic decision-making. It also supports the development of analytics capabilities using Databricks, AI-enabled analytics, intelligent automation, and emerging technologies to improve transportation visibility, operational performance, and business outcomes. This is an onsite position in Warren, Michigan. Candidates must currently live within a reasonable commuting distance; relocation assistance is not offered. Compensation is $73,976–$92,470, with potential eligibility for bonus or commission pay. Actual compensation may vary based on experience and skill set.
Nice To Haves
- 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.
Responsibilities
- Analyze transportation, shipment, and operational datasets to identify trends, exceptions, and opportunities.
- Support transportation visibility initiatives through data analysis, testing, validation, troubleshooting, and continuous improvement.
- Develop and maintain SQL queries, datasets, and analytical models for 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, and support 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 Databricks, AI-enabled analytics, automation, and emerging technologies to improve visibility, performance, and business insights.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
