Staff People Analytics Architect building analytics foundations for Notion’s People team. Designing data pipelines, creating intelligent tools, and shaping workforce management strategies.
Responsibilities
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.
Requirements
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 results.
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