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Analytics Engineer (HR Analytics)

Elastic

Skills

Required

  • data pipelines
  • Python
  • AI/LLM-based analytics tools
  • standard BI
  • Looker
  • Tableau
  • Streamlit
  • Plotly
  • SQL
  • Google Cloud Platform GCP

Preferred

  • BigQuery / dbt
  • Automate recurring recruiting reports

Join our team as an Analytics Engineer specializing in HR Analytics. In this hands-on role, you will develop and maintain HR's data pipelines on our GCP/BigQuery/dbt data model, with an AI-powered analytics layer on top. You will work closely with our data scientist and report directly to the Director of HR Analytics. Your mission will be to move the organization away from manual reporting and towards a mature, self-service environment. You will build and deploy scalable analytics, automate recurring recruiting reports, and translate talent data into insights.

Develop and maintain HR's data pipelines on GCP/BigQuery/dbt data model, with an AI-powered analytics layer.

Direct experience extracting and modeling data from at least one major HRIS or ATS platform (e.g., Workday, Greenhouse) via its reporting or API layer. General dashboard-level reporting experience is not a substitute

About Elastic

Experience working across geographies and time zones, tailoring insights to diverse audiences

Responsibilities

  • Build and maintain data pipelines in BigQuery/dbt, linking HR data across the employee lifecycle.
  • Automate recurring recruiting reports to eliminate manual data wrangling and translate talent data into insights.

Requirements

  • Broad understanding of HR programs and metrics across the employee lifecycle, including recruiting
  • A point of view on AI/LLM-based analytics tools and how they simplify insight delivery – direct experience implementing one is a plus
  • A builder's approach: comfortable creating solutions, frameworks, and processes with limited existing scaffolding, while working within a set architectural direction
  • Demonstrated ability to build custom dashboards and data visualizations using standard BI platforms (e.g., Looker, Tableau) or code-based environments (e.g., Python, Streamlit, Plotly)
  • Strong storytelling and presentation skills for both VP/executive and non-technical audiences
  • Strong SQL and Python skills
  • 2+ years of hands-on experience building and maintaining data pipelines in Google Cloud Platform (GCP)

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