Staff People Analytics

Notion
San Francisco, California$210k – $240kPosted 26 March 2026

Job Description

Staff People Analytics ABOUT US: Notion helps you build beautiful tools for your life’s work. 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. 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. ABOUT THE ROLE: This is a rare kind of role — one where your work sits at the intersection of people data, AI-native tooling, and product thinking, inside a company that's actively redefining how knowledge work gets done. As Notion's first Staff People Analytics Architect, you'll build the analytics foundation for our People team from the ground up: designing data pipelines, creating intelligent internal tools, and turning complex workforce signals into decisions that shape how we hire, grow, and retain world-class talent. But here's what makes this truly unique: the products you build internally our, own People team, have a direct line to influencing Notion's external product roadmap. You'll be customer zero, living proof of what's possible when Notion is used to run a modern, AI-native People function. Your work won't just make our team better; it could shape how thousands of companies manage their people. WHAT YOU'LL ACHIEVE: - Build the People Data Foundation: Design and co-own our People analytics infrastructure with data engineering — from raw data pipelines in Snowflake to clean, reliable datasets that power decision-making across the People org. Partner closely with data owners and governance to ensure people data is accurate, well-documented, and trusted. Create AI-Powered Internal Tools: Build automations and AI-augmented workflows that eliminate manual work and unlock smarter operations for the People team. Think beyond dashboards — you'll be architecting intelligent systems that learn, adapt, and surface the right information at the right time. Own Our Analytics & Reporting Layer: Develop and maintain and self-serve products that give People Partners, HRBPs, and leadership clear, real-time visibility into workforce metrics and signals — headcount, attrition, talent density, hiring velocity, and more. Be Customer Zero for Notion: Use Notion as the operating system for everything you build. Your lived experience as a power user will directly inform how Notion's product team thinks about building for People and operations teams globally. Translate Ambiguity into Insight: Partner with People Staff and business leaders to frame the right questions, scope analytical projects, and deliver findings that drive action — not just reports that collect dust. SKILLS YOU'LL NEED TO BRING: - 8+ years of experience; minimum of 5+ years in a People Analytics or another Analytical role - Strong SQL fluency — you write complex queries comfortably and think in data models. - Hands-on experience building and maintaining data pipelines and modern data stacks (ETL/ELT, Snowflake or similar warehouses). - A builder's mindset: you've shipped internal tools, automations, or integrations that real people use every day — and you take pride in reliability and maintainability. - Practical AI fluency — you actively use AI tools to work faster and smarter, and you think creatively about where AI can replace manual, repetitive work. - Strong product thinking: you can translate ambiguous People team needs into clear technical requirements, prioritize ruthlessly, and deliver iteratively. - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better ... (truncated, view full listing at source)
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