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Analytics Engineer

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Location

San Francisco, CA; New York, NY

We're hiring a technical Analytics Engineer to own our full data stack – from database architecture and pipelines to integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company with a particular focus on product and GTM reporting.

In this role you will:

  • Design and manage database architecture and data models
  • Build and maintain ETL/ELT pipelines and orchestration workflows
  • Create and manage new data integrations across internal and external systems
  • Own business reporting: datasets, dashboards, metrics, and self-serve analytics
  • Ensure data quality, observability, governance, and documentation

Requirements for the role:

  • 4+ years in a data engineering, data science, or full-stack data role
  • Expert SQL and strong Python (or R)
  • Experience with data modeling, warehouse architecture, and BI-oriented schema design
  • Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
  • Experience building or maintaining BI reporting (Metabase a plus)
  • Strong knowledge of statistics and experimentation

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