← Back to all jobs
Staff Analytics Engineer, Forecasting
Airbnb
🌎 Remote — US (West Coast)Full-timeData Science$217K – $247K /yr
Apply with RemoteHire24 →Posted 20 days ago
You apply directly through RemoteHire24. We review your application and contact shortlisted candidates by phone, WhatsApp, or Telegram.
Job description
Airbnb is hiring a Staff Analytics Engineer, Forecasting to join our fully remote team in the United States. As a Staff Analytics Engineer, Forecasting, 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:
• Partner with stakeholders to define metrics
• Communicate findings to technical and non-technical audiences
• Build and validate models and dashboards
• Maintain data pipelines and data quality
• Analyze large datasets to surface actionable insights
What we offer:
• Competitive salary and meaningful equity
• 401(k) retirement plan with company match
• Home office and wellness stipends
• Paid parental leave
• Comprehensive medical, dental, and vision coverage
How we work
We're remote-first and async-friendly. Expect clear documentation, regular feedback, supportive teammates, and real opportunities to grow your career.
Airbnb is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.
Requirements
Minimum qualifications:
• 7+ years of experience, including leading teams or projects
• Clear communication skills
• Understanding of statistics and experimentation
• Experience with data visualization tools
• Familiarity with cloud data warehouses
Nice to have:
• Familiarity with modern collaboration tools (Slack, Notion, Linear)
• Experience working in a fully remote or distributed team