People Analytics Partner (Recruiting Analytics)

TL;DR

People Analytics Partner (Recruiting Analytics): Building trusted recruiting analytics infrastructure and self-serve dashboards across the recruiting funnel with an accent on funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, and recruiter capacity. Focus on turning workforce signals into decision-grade metrics and AI-assisted SQL/insight workflows that hold up in pipeline reviews.

Location: San Francisco, California; New York, New York (Hybrid; work from offices on Mondays, Tuesdays, and Thursdays)

Salary: $210,000 - $260,000 per year

Company

Notion is a collaborative AI workspace where teams and agents think together.

What you will do

• Own recruiting analytics end-to-end by building and maintaining real-time, self-serve dashboards and reporting for recruiting leadership.
• Build headcount and velocity models that translate hiring targets into pipeline math tied to recruiter capacity and prioritization.
• Define core recruiting metrics and their definitions, document them, and drive toward a single source of truth.
• Bring signal to pipeline leadership reviews and QBRs with crisp analysis and recommendations on bottlenecks and next tests.
• Improve the recruiting system by identifying process/calibration/prioritization drag and partnering with Recruiting and Finance to fix it.
• Use AI to accelerate query iteration, metric QA, and insight narratives while keeping logic auditable.

Requirements

• Proven ability to ship analytics (dashboards/models) that teams rely on for recurring weekly decisions.
• Strong SQL and data modeling judgment, including debugging data issues and building maintainable pipelines.
• Quantitative modeling skills to translate recruiting stages into funnel math and capacity views and stress-test assumptions.
• Ability to partner strategically with leaders by anticipating questions and presenting decision-ready analysis.
• Comfort structuring knowledge and workflows in Notion (databases, views, documentation).
• Role is based in San Francisco or New York City offices and requires in-office work on Mondays, Tuesdays, and Thursdays.

Culture & Benefits

• Highly competitive cash compensation, equity, and benefits.
• Hybrid schedule with in-office Anchor Days (Mondays, Tuesdays, Thursdays) to build and think together.
• Use AI as a daily multiplier for analysis, QA, and drafting narratives.
• Work focused on building durable, trusted analytics infrastructure rather than one-off reporting.

Hiring process

• Interviews focused on analytics impact, SQL/data modeling, and decision-grade metric thinking.
• Discussion of how you use AI for query iteration and insight narratives while keeping definitions auditable.