Logistics Analyst at Tesla Motors, Inc. in Elkridge, Maryland

Job Description:

The Role:

Tesla is seeking a deeply process oriented, experienced, and self-driven Logistics Analyst to support domestic distribution ofEnergy products. You will work cross-functionally with global supply chain, warehousing, material planning, installation operations and production control to grow and manage Tesla'senergydistribution network.

Responsibilities:

*Develop and build distribution strategy to support complex andhigh volume supply chain utilizing both internal assets and 3rdparty carriers to support business growth

*Work with supply chain leadership, logistics and business intelligence managers to establish strategic objectives

*Collaborate with industrial engineers, business intelligence team and system development team regularly to initiate logistics carrier API integration, andinternal Transportation Management Systems and Warehouse Management Systems improvements.

*Issue statistical or detailed reporting for stakeholders as requested including operation efficiency improvement, cost reduction and capacity planning.

*Pull data from internal database. Analyze, compile, and publish logistics dashboards and metrics for Tesla's logistics leadership.

*Identify and define new process improvement opportunities.

*Drive day to day tactile execution with balanced customer focus and cost mindset

Requirements:

* Bachelor's degree in Supply Chain or the equivalent of experience and evidence of exceptional ability.

* Master's degree in industrial engineering or supply chain, preferred

* 5+ years of professional experience in manufacturing, supply chain, logistics, and/or evidence of exceptional ability.

* Strong analytical and organizational skills; ability to code in SQL and Tableau and deep dive in data, preferred

* Demonstrated communication, leadership, andproblem solvingskills. Ability to write, speak, and present effectively and persuasively at all levels.

* Strong analytical and organizational skills; ability to achieve success in situations with high degrees of variation and complexity