Uberfreight Sr. Logistics Engineer supporting enterprise clients at Uber Freight by analyzing supply chain challenges and optimizing transportation and distribution networks. Works closely with client teams and internal resources.
Responsibilities
Uber Freight Engineering works strategically with clients to gain an understanding of their specific supply chain challenges and to jointly explore supply chain improvement opportunities. In addition, our team provides tactical decision-making services that bridge the gap between strategic planning and operational execution. Our clients take advantage of our multi-level approach to realize benefits such as network optimization, improved utilization of private fleet operations, lowest-cost mode conversion, dedicated lane assignments, and overall cost reductions.
This position directly supports one of our key enterprise clients. The role administratively reports to Uber Freight leadership while managing daily workload and deliverables directly alongside the client's Customer Supply Chain (CSC) team.
Target Locations: Virginia, Rogers (AR), or Battle Creek (MI).
What the Candidate Will Do
Perform quantitative and qualitative analysis to identify and address supply chain opportunities and challenges within the CPG domain.
Utilize advanced reporting and modeling tools to evaluate and optimize transportation and distribution network strategies.
Conduct lane benchmarking by leveraging Uber Freight market intelligence, internal data, procurement insights, and external data sources.
Partner directly with internal client teams while drawing on internal Uber Freight engineering and data analyst resources.
Build, maintain, and deliver ad-hoc and recurring reports (via Tableau, TMS, and internal client systems) to support key business initiatives.
Travel Requirements
Occasional travel to client locations or an Uber Freight hub up to 25%.
Qualification
Bachelor’s degree in Supply Chain
Required
Bachelor’s degree in Supply Chain, Engineering, Logistics, Business Analytics, or a related field.
Minimum of 3 years of analyst or engineering experience.
Proven experience in data analytics supporting a Consumer Packaged Goods (CPG) company (via a 3PL or directly with a shipper).
Hands-on proficiency with Tableau and Transportation Management Systems (TMS).
Preferred
Experience with enterprise reporting systems and supply chain data modeling.
Basic knowledge of optimization software and SQL.
Strong understanding of Supply Chain Management principles, transportation strategies, and network design.
Ability to model real-world distribution networks and translate complex datasets into actionable insights.