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Asset Management Analyst
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Hub Group, Inc.
Oak Brook, IL (In Person)
$60,000 Salary, Full-Time
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Job Description
Essential Job Functions Audit and analyze intermodal equipment charges using SQL and advanced Excel to assess accuracy, determine validity, and support charge approval or dispute decisions. Apply analytical judgment to evaluate complex billing data related to chassis usage, crossovers, and maintenance and repair expenses, identifying discrepancies and cost drivers. Perform recurring and ad hoc cost analyses to identify trends, financial risks, and opportunities to improve cost efficiency across intermodal assets. Prepare and deliver monthly analytical and financial reports for Finance, including outstanding invoices, disputed charges, and billable activity, ensuring data accuracy and interpretive insight. Analyze network‑wide equipment utilization to identify underutilized or excess assets and develop data‑supported recommendations for asset planning and optimization. Support and execute disposition strategies for underutilized power units and containers in alignment with financial, operational, and asset management objectives. Lead analytical support for intermodal equipment initiatives, including container onboarding and container/chassis lease activities, serving as a cross‑functional liaison with internal teams and external partners. Apply sound business judgment to resolve complex, non‑routine equipment and billing issues, balancing contractual terms, financial impact, and operational considerations. Contribute to continuous improvement of asset management data, reporting, and analytical processes; perform additional analytical assignments consistent with the analyst job level. Duties, responsibilities and activities may be assigned or changed from time to time. Minimum Qualifications Bachelor's degree in business, finance, accounting, economics, supply chain, or a related field. Experience in transportation, logistics, asset management, or a comparable analytical environment preferred. Demonstrated analytical and problem‑solving skills with the ability to interpret data and apply judgment to non‑routine issues. Ability to work independently while effectively partnering with cross‑functional teams. Advanced proficiency with Microsoft Excel, and experience working with large data sets SQL experience strongly preferred. Strong organizational and communication skills with the ability to manage multiple priorities.