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Analytics Engineer, People Data

OpenAI LogoOpenAI
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Salary

$220K + Offers Equity

Location

San Francisco, CA, Hybrid. While we aren't actively considering remote applications, we do encourage you to apply anyways for future remote opportunities.

About the Team

OpenAI’s People team aims to hire, engage, and retain world-class talent who will safely build and deploy universally beneficial Artificial General Intelligence (AGI).

The People Systems team is an important subset of People Operations and is responsible for designing, building, and optimizing our HR technology to support a rapidly growing employee population.

About the Role

You’ll be the hands-on owner of our People analytics database—modeling, transforming, testing, and documenting HR data to deliver trustworthy data foundations that power our data products and analytics, including self-serve insights.

This role is about applied data modeling and DataOps with tight stakeholder loops. Your scope centers on correctness, velocity and scale, with strong privacy and governance. This role reports to our Head of People Experience & Technology.

Your Responsibilities:

  • Build and own canonical People data models (employee, org/role, movement, recruiting funnel, comp history, mobility) in dbt with SCD handling, tests, docs, and data contracts.
  • Partner with Data Platform/IT to ingest HRIS/ATS/Payroll/ID data; own the T in ELT (dbt), tests, and data contracts.
  • Define a metrics/semantic layer and ship curated marts for the Head of People Analytics; enable self-serve via BI (Looker/Mode/Hex/Tableau).
  • Implement privacy-by-design (PII minimization, RBAC), lineage, and governance in partnership with Legal/Privacy/Security.
  • Manage analytics CI/CD (Git, code review, environments, releases) and maintain runbooks, dictionaries, and lineage docs.

We’re Seeking:

  • 5+ years as a HR IT, Analytics or Data Engineer (or equivalent) delivering production-grade HR data models and durable data products (governed marts, semantic layers, APIs etc.)
  • Expert SQL; deep experience with dbt and dimensional/event-temporal modeling.
  • Proficient in Python for transforms/automation (not ML platform work).
  • Hands-on with a cloud warehouse (Snowflake/BigQuery) and an orchestrator (Dagster/Prefect/Airflow).
  • Track record integrating HRIS/ATS/payroll/identity sources and hardening metrics for exec-level decisions.
  • Strong stakeholder communication; asks the right questions to understand the business context and build optimal data foundations.
  • Working knowledge of GDPR/CCPA, data minimization, and access management.

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