Analytics Engineer, People Programs

Job description

What to Expect We're seeking an analytical problem-solver to improve the programs that shape every Tesla employee's journey—from application through every milestone that follows. Think compensation, relocation, and other key People programs across the company. You'll identify gaps, build the case for change with rigorous analysis, and drive it to resolution at scale. You'll collaborate across HR, engineering, business leads, and leadership—deeply understanding what Tesla actually needs rather than copying what other companies do. You'll treat programs like products: instrumenting them, measuring their impact, and iterating based on data. You'll craft compelling narratives from your findings to get buy-in from stakeholders and ensure data is at the center of every decision. What You’ll Do Design improvements, define requirements, and evaluate trade-offs—prioritizing ruthlessly based on impact and feasibility Synthesize data from multiple sources and craft clear, data-driven recommendations that drive decisions and provide leadership visibility Build prototypes, internal tools, dashboards, and integrations to move faster than a traditional engineering cycle allows Drive cross-functional execution across engineering, data, and business teams to deliver reliable, scalable solutions Monitor program performance post-launch and iterate rapidly; the first version is never the final version What You’ll Bring Strong background in analytics, data science, engineering, or a related quantitative field Hands-on proficiency in Python and SQL—able to query data, model scenarios, and prototype solutions independently Proven track record of identifying problems, building the case for change, and driving solutions to completion Experience distilling complex analysis into clear narratives that secure leadership buy-in First-principles thinker who defaults to action and ownership in unstructured environments Extracted Data Skills: Python, SQL