About the company
This role provides analytical and operational support across a broad North American transportation network.
Responsibilities
- Analyze transportation spend, shipment volumes, cube, rates, and mode data across TL, LTL, and parcel operations to identify cost drivers, savings opportunities, and efficiency improvements.
- Develop and maintain reporting for key freight KPIs, including transportation spend as a percentage of sales, cost per hundredweight, out-of-network freight, mode mix, and carrier on-time performance.
- Support Monthly Business Reviews by preparing performance materials, tracking productivity goals, and communicating relevant findings and trends to leadership.
- Reconcile data across TMS, Power BI, SAP, FPBI exports, and other systems to maintain accurate and consistent reporting.
- Build and maintain dashboards, scorecards, and analytical tools that provide stakeholders with clear visibility into transportation performance.
- Analyze routes, distribution centers, carrier performance, freight terms, routing guide compliance, and mode-shift opportunities to support network optimization and cost reduction.
- Provide scenario modeling and financial analysis for proposed transportation or distribution changes and contribute to network optimization business cases.
- Support annual productivity planning, continuous improvement initiatives, carrier RFPs, and implementation tracking.
- Identify opportunities to use AI, automation, and digital tools to streamline recurring transportation workflows, reduce manual effort, and accelerate access to insights.
- Collaborate with Procurement, Warehousing, Customer Service, Finance, and other stakeholders to address transportation requirements and provide timely analytical support.
- Respond to ad hoc data and reporting requests accurately and efficiently while maintaining strong data integrity.
- Contribute to transportation optimization projects and broader initiatives designed to improve efficiency, reduce waste, and strengthen supply chain performance.
Requirements
- Bachelor’s degree in Supply Chain, Logistics, Business, Finance, Data Analytics, or a related discipline, or equivalent relevant experience.
- 2–4 years of experience in transportation, logistics, supply chain analytics, operations, finance, or a related analytical function.
- Familiarity with multiple transportation modes, including truckload, less-than-truckload, parcel, ocean, and air, as well as core transportation management concepts.
- Strong analytical and problem-solving abilities, with experience working with large datasets and translating complex information into practical recommendations.
- Advanced proficiency in Microsoft Excel, including pivot tables, data modeling, and VLOOKUP; experience with Power BI, transportation management systems, or SAP is preferred.
- Knowledge of transportation regulations, compliance requirements, and industry best practices, including DOT and hours-of-service considerations.
- Strong attention to detail and a demonstrated ability to maintain data accuracy and consistency across complex reporting environments.
- Excellent communication skills, with the ability to present analytical findings clearly to both technical and non-technical audiences.
- Experience with Python, SQL, or other data analytics tools is a plus.
- Ability to collaborate effectively across functions, manage competing priorities, and deliver accurate work within established timelines.
- Willingness and ability to travel occasionally, with travel expected to remain below 25%.
Conditions
- Annual salary and compensation aligned with the role and candidate qualifications.
- Full-time, remote opportunity based in the United States.
- Opportunity to work across transportation, supply chain, procurement, finance, warehousing, and customer service functions.
- Exposure to large-scale freight analytics, network optimization, productivity initiatives, and continuous improvement projects.
- Opportunities to develop expertise in Power BI, SAP, TMS platforms, transportation analytics, and emerging automation and AI tools.
- Collaborative environment focused on measurable operational improvements and data-driven decision-making.
- Less than 25% travel.