Lead Analytics Engineer, Risk

Lyft is hiring a Lead Analytics Engineer, Risk to join our fully remote team in the United States. As a Lead Analytics Engineer, Risk, you'll turn data into insights and intelligent products. This is a full-time, work-from-home role open to candidates across the US (Remote — USA). About the role You'll turn data into insights and intelligent products, partnering with a friendly, distributed team across US time zones. We care about outcomes over hours and give you the autonomy, tools, and support to do your best work from home. What you'll do: • Maintain data pipelines and data quality • Analyze large datasets to surface actionable insights • Communicate findings to technical and non-technical audiences • Build and validate models and dashboards • Partner with stakeholders to define metrics What we offer: • Home office and wellness stipends • Flexible working hours across US time zones • 401(k) retirement plan with company match • Paid parental leave • 100% remote, work-from-anywhere-in-the-US culture How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Lyft is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 7+ years of experience, including leading teams or projects • Clear communication skills • Experience with data visualization tools • Understanding of statistics and experimentation • Strong SQL and Python (or R) Nice to have: • A growth mindset and eagerness to keep learning • A track record of taking ownership and shipping independently