data
Posted Apr 14Data Engineer, People Analytics
at Notion
San Francisco, United StatesRemote
Requirements
- In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work.
- experience in analytics engineering, data engineering, people analytics, or a closely related role, with a track record of building trusted datasets and systems for business decision-making - Hands-on
- experience working with HRIS and adjacent People systems data (for example Workday, ATS (Ashby), payroll, benefits, performance, or engagement platforms) and know how to reconcile definitions across messy, evolving source systems - Proficiency in SQL and data modeling, and can build production-grade transformations, define durable metric logic, and write performant queries against large analytical datasets - Proficiency in Python (or similar OOP languages) for building data pipelines, automation, and
- Experience designing systems with data quality, testing, monitoring, and SLAs in mind -
Experience
- SKILLS YOU'LL NEED TO BRING: - 6+ years of
Additional details
- ABOUT US: Notion helps you build beautiful tools for your life’s work.
- Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
- In-person collaboration is essential to Notion's culture.
- We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days.
- Certain teams or positions may require additional in-office workdays.
- requirements into scalable datasets, dashboards, and self-serve data products that give People leaders, People Partners, and managers visibility into workforce trends while reducing manual overhead.