Genuine Parts Company

Genuine Parts Company

Analyst, Transportation Operations

Atlanta, GA, USA

Sponsorship not specifiedDetected 1 day ago
SQLData AnalysisData VisualizationSupply ChainLogisticsCommunicationProblem SolvingCritical ThinkingMicrosoft Office

About the role

  • This role involves working with internal teams such as IT, transportation operations and solutions, and distribution to ensure effective reporting is in place to help run the business.

Responsibilities

  • Collaborates with internal cross-functional teams to provide data-driven solutions and recommendations to the business to drive an increase in transportation control, increase in service, and a decrease in supply chain cost
  • Support innovation, strategy development, and implementation of new transportation and supply chain capabilities
  • Ability to prioritize and manage multiple projects and tasks simultaneously

Requirements

  • Bachelor's degree in industrial engineering, supply chain, logistics, or another technical field
  • Proficient in Microsoft Office Suite with proven ability utilizing Excel.
  • Ability to learn and utilize various types of software and information systems.
  • Ability to work independently and in a team oriented, collaborative environment
  • Ability to resolve situations quickly, communicate status of problems, and work with the appropriate subject matter experts to achieve required outcomes

Nice to have

  • Experience with complex organizational supply chains and systems
  • Experience with data analytics
  • Work performed in a typical office environment.
  • Ability to travel as needed, up to 15%.
  • Physical Demands / Working Environment
  • Not the right fit?

Visa & Work Authorization

  • GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information,

This listing is sourced directly from Genuine Parts Company's careers page and normalized into a canonical job model.