Drive supply chain cost improvement and performance of inbound logistics through daily data analysis of relevant freight and vendor data
Provide creative and insightful lane recommendations and options to stakeholders based on data analysis and route optimization output
Leverage Llamasoft transportation optimization software to engineer optimal fleet trucking routes for USF locations and dedicated 3rd party hubs
Own the development and maintenance of freight information for assigned lanes / geographies
Model lane solutions supporting net freight income targets and service level improvements for the inbound supply chain
Serve as subject matter expert regarding process and procedures for reviewing and approving optimal route opportunities, logistics systems and workflows as it relates to freight conversion
Utilize financial, logistical and procurement databases/systems to assist in for the development, analysis and modeling for load related supply chain efficiency improvements
Manage communications with field or other internal / external stakeholders under limited guidance of senior team members

Bachelor’s degree or equivalent experience
Strong proficiency with Microsoft Office Suite (i.e. Excel, PowerPoint, Word, and Access)
Able to translate data insights from large datasets into specific optimization / improvement actions
Effective communication teaming skills; capable of developing alignment across Logistics functions and other departments
2 years of experience with progressive experience in a highly data-drive / analytical type role
Undergraduate major in supply chain, operations, statistics, business, or a data-related field
Prior work experience in supply chain, logistics, data analytics, or foodservice
Prior experience with logistics management applications (e.g. Llamasoft, TMS, Arrowstream)

Senior Logistics Analyst

Key skills