Notion is a collaborative AI workspace company focused on enhancing productivity through innovative tools. They are seeking a participant for their People Analytics & Operations rotational program, which involves working across various HR functions to build insights and improve operational processes using data and AI.
Responsibilities:
- Build the insights engine: Write SQL that powers our headcount, attrition, and hiring funnel dashboards. Transform raw people data from Workday and Snowflake into crisp analyses that drive real decisions. For example, you might build a model that identifies where we're losing great candidates and propose a process fix
- Run the HR operations engine: You'll learn how the ops side of the house actually works by doing it. That means executing employee lifecycle transactions in Workday (new hires, transfers, terminations), coordinating onboarding and offboarding end-to-end, triaging and resolving employee requests, supporting compliance and audit readiness, and keeping headcount and requisition data clean. For example, you might own the full ops flow for an onboarding cohort and surface process gaps that shorten time-to-productivity
- Tell the story in data: Take a messy people question and produce a clean narrative: numbers to insights to recommended decision. You'll own the analytical arc end-to-end -- from pulling the data to presenting it to senior leadership
- Prototype AI-assisted workflows: Identify manual, repetitive work across HR operations and replace it with something smarter -- automated onboarding task routing, AI-assisted ticket triage, offboarding checklists that run themselves, compliance reminders that don't require a human to send. You'll have real latitude to experiment and ship things that outlive your rotation
- Build and own our Notion workspace: You'll be the People team's Notion expert. Pages, databases, dashboards, views -- you'll build operating systems the whole team relies on. From day one, you'll be the person others come to when they want to do something in Notion they didn't know was possible