Analytics Engineer, Risk

Spotify is hiring a Analytics Engineer, Risk to join our fully remote team in the United States. As a 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 — US (West Coast)). 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: • Build and validate models and dashboards • Partner with stakeholders to define metrics • Analyze large datasets to surface actionable insights • Maintain data pipelines and data quality • Communicate findings to technical and non-technical audiences What we offer: • Comprehensive medical, dental, and vision coverage • Paid parental leave • Home office and wellness stipends • Flexible working hours across US time zones • Competitive salary and meaningful equity How we work We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career. Spotify is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.

Minimum qualifications: • 2+ years of relevant experience • Understanding of statistics and experimentation • Familiarity with cloud data warehouses • Strong SQL and Python (or R) • Experience with data visualization tools Nice to have: • Comfort communicating clearly and proactively in writing • Experience in a fast-paced, high-growth environment