HR Analytics Engineer: AI-Powered Insights

Elastic

Mountain View (CA)

A distancia

USD 140.000 - 210.000

Jornada completa

Hace 5 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Health coverage
Flexible locations
Generous vacation days
Donation matching
Volunteer hours
Parental leave

Descripción de la vacante

Elastic is seeking a hands-on data analytics engineer to build and maintain HR data pipelines on GCP/BigQuery with a dbt model and an AI-powered analytics layer. You will stand up recruiting reporting as a production use case and work with the Director of HR Analytics on architecture decisions.

The role focuses on moving the organization toward self-service insights for senior stakeholders, with dashboards and governance for sensitive data across geographies.

Formación

  • 2+ years building and maintaining data pipelines in GCP.
  • Strong SQL and Python skills for analytics.
  • Experience extracting and modeling data from HRIS/ATS (Workday/Greenhouse).
  • Proven ability to build dashboards in Looker/Tableau or code-based tools.
  • Ability to work across geographies and time zones.

Responsabilidades

  • Build and maintain HR data pipelines in BigQuery/dbt linking HR systems.
  • Develop AI-powered analytics layer and self-service dashboards.
  • Collaborate with data scientist and central data platform team.
  • Establish data governance for sensitive HR and compensation data.
  • Create scalable deployment and reporting for recruiting insights.

Conocimientos

SQL
Python
Data pipelines
GCP

Herramientas

dbt
BigQuery
Looker
Tableau
Workday
Greenhouse

Descripción del empleo

Elastic is seeking a hands-on data analytics engineer to build and maintain HR data pipelines on GCP/BigQuery with a dbt model and an AI-powered analytics layer. You will stand up recruiting reporting as a production use case and work with the Director of HR Analytics on architecture decisions.

The role focuses on moving the organization toward self-service insights for senior stakeholders, with dashboards and governance for sensitive data across geographies.

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