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Tesla's Supply Chain Analytics team is looking for a Data Analyst to optimize the global vehicle delivery network by transforming complex datasets into actionable intelligence for the Finished Vehicle Logistics operation.

Requirements

• Strong proficiency in querying large datasets using SQL
• Experience with a programming language for data analysis (e.g., Python, R) is highly preferred
• Experience creating dashboards and visualizations using tools like Tableau, Power BI, or similar is highly preferred

Responsibilities

• Define, track, and report on key performance indicators (KPIs) for outbound logistics, including transit times, logistics costs, carrier performance, and delivery network efficiency
• Apply data mining, statistical analysis, and visualization techniques to create actionable insights from complex logistics data sets
• Identify, analyze, and interpret trends and patterns to pinpoint bottlenecks and opportunities for improvement within the vehicle delivery pipeline
• Develop and maintain reports, dashboards, and data visualizations to guide strategic decision-making for the Finished Vehicle Logistics team
• Drive problem-solving and continuous improvement initiatives to optimize outbound logistics processes and reduce operational costs
• Support leadership with dashboards and ad-hoc analyses to assess business impact, model different scenarios, and set priorities
• Partner with IT and systems teams to define system requirements and participate in the software development lifecycle, from design to user acceptance testing

Other

• 2+ years of work experience in outbound logistics, finished vehicle logistics, transportation, supply chain, or a related analytical role
• A structured, data-driven, and quantitative approach to problem-solving
• Demonstrated ability to analyze complex data and present findings clearly and concisely
• Proven ability to set expectations, manage deadlines, and hold individuals and teams accountable for critical milestones
• A collaborative, flexible, and open working style with the ability to build trust and credibility across teams