Operations Lead, Collision, Rental, & Refurbishment Analytics

What to Expect
The Operations Lead, Collision, Rental, and Refurbishment Analytics acts as the critical link between our operational teams and business intelligence functions. This individual ensures the accuracy and reliability of our data, drives the swift resolution of system bugs, and provides crucial ad hoc analysis. The ideal candidate is a master of Tesla's internal systems, an expert in data manipulation, and possesses a deep understanding of data logic to identify and rectify failures.

This position can sit in Palo Alto, CA; Fremont, CA or Austin, TX.

What You’ll Do

• Serve as liaison with reporting teams to ensure the accuracy of data, expedite bug fixes, and proactively monitoring system performance to escalate system failure points before operations is impacted
• Validate data integrity by cross-referencing reports against source systems, identifying discrepancies, and diagnosing failures in underlying logic
• Perform ad hoc data analysis by writing SQL queries, developing Python scripts, and utilizing advanced Excel functions to extract and interpret information for business stakeholders
• Create effective presentations and data visualizations to drive business decisions, while aligning with Tesla design standards
• Translate business needs into technical requirements for the reporting and development teams to drive system enhancements
• Document data sources, logic, and processes to create a reliable knowledge base for the team
• Support operational teams by providing data-driven insights on a requested basis and clarifying the functionality of Tesla’s internal systems

What You’ll Bring

• Bachelor’s Degree in Information Systems, Data Analytics, Business, or a related field, or equivalent practical experience
• Demonstrated mastery of Tesla’s internal service, collision, and reporting systems
• Expert-level proficiency in Microsoft Excel, including complex formulas, pivot tables, Power Query, and data modeling; familiarity with Python machine learning framework
• Strong proficiency in writing and executing SQL queries to pull and manipulate data from various databases
• Exceptional analytical and problem-solving skills with a proven ability to understand and troubleshoot complex data logic
• Excellent communication skills, capable of translating technical concepts for non-technical audiences and collaborating effectively across teams
• A high degree of initiative and the ability to work independently on complex analytical tasks