Brokerage Operations Analyst

Maersk•Charlotte, NC

5d•$75,000 - $85,000•Hybrid

About The Position

The Brokerage Operations Analyst supports freight brokerage operation by ensuring data accuracy, system reliability, and operational integrity across brokerage platforms. This role sits between Operations and Systems/Technology, identifying data issues, auditing transactions, performing reconciliations, and partnering with cross-functional teams to resolve root causes. This is a hands-on analyst role ideal for someone who understands brokerage workflows and enjoys digging into data, systems, and process gaps.

Requirements

Bachelor’s degree or equivalent experience
3–6+ years of experience in freight brokerage, logistics operations, or business/systems analysis
Strong understanding of brokerage processes (loads, rates, carriers, billing, settlements)
Advanced Excel skills
SQL, Power BI, or Power Query experience required
Strong analytical skills and attention to detail
Ability to work cross-functionally with Operations, Finance, and Technology teams

Nice To Haves

Consulted About Brokerage & FTL Data Model and System Logic
Consulted About System frameworks and system-system reconciliations
Consulted About System improvements/issue resolution scoping (not reconciliation)

Responsibilities

Audit brokerage transactions and system data for accuracy and completeness
Identify and investigate system errors, data inconsistencies, and process breakdowns
Perform reconciliations between TMS, financial systems, and reporting tools
Conduct root-cause analysis and partner with Operations and IT to resolve issues
Support system enhancements, data clean-up efforts, and control processes
Create queries, reports, or dashboards to monitor data quality and trends
Create and manage datasets and reporting out of Brokerage and FTL systems (Motus, Truckmate, SoftPoint, SAP, OTM, WebEC, etc.)
Resolve technical issues between systems – drive RCA on whether it is a systemic or operational issue
Develop audit frameworks and prevent financial and operational risk.
Determine areas for continuous improvement through data driven decision making