Data Analyst, People Products

What to Expect

At Tesla, data-driven insights are crucial to informing our Recruiting & People strategy. We’re looking for a Data Analyst to join our team and help us drive this effort.

The People Analytics team is embedded within the Recruiting & HR organization and contributes to decisions made throughout the company. We’re constantly refining our approach to data analysis to better understand hiring trends and their impact on Tesla’s work. We custom-build tools to derive insights a create a real-time feedback loop with our internal customers.

The Data Analyst will create reporting models that analyze key performance indicators, contribute to the growth of our in-house data tools, and work directly with engineers on the team to make system improvements.

This position could also be in Austin, TX.

What You’ll Do

• Apply a product-centric approach to data and reporting, ensuring discoverability through user-friendly documentation and trustworthiness with rigorous data tests
• Design, build, and maintain data models to ensure data quality, consistency, and accessibility for analysis
• Collect, analyze, and present data from the system when provided a subset of potentially unrelated data points/filters to draw conclusions
• Effectively communicate data analysis to non-technical audiences unfamiliar with the domain
• Recognize patterns to define gaps in upstream systems and drive change to close these gaps with responsible parties (end users, system admins, etc.)
• Ensure successful integration with downstream systems and accurate reporting to stakeholders

What You’ll Bring

• Bachelor's Degree in Data Analytics, Data Science, Statistics, or equivalent experience
• Previous experience working with Recruiting or People teams, or in-depth knowledge of the full-cycle recruiting process
• Prior relational database experience
• Proficiency in SQL and other common query languages
• Understanding of CI/CD workflows and automated testing
• Experience with data visualization tools (Tableau, Power BI, etc.)
• Critical thinking and a first principles approach to problem solving