Elastic
Analytics Engineer, HR Analytics
United States · Full-time · Posted Oct 5, 2026
- Experience
- 2+ years building and maintaining data pipelines in GCP; no other years specified.
- Visa sponsorship
- An export license may be required as a condition of employment for applicants located in or nationals of the listed sanctioned countries and regions.
About the job
Build HR data pipelines, models, dashboards, and recruiting insights to support AI-powered, self-service analytics and better workforce decisions.
What you'll do
- Build and maintain HR data pipelines and dbt models, connecting data across the employee lifecycle.
- Create self-service dashboards, automate recruiting reports, and analyze data to improve hiring processes and candidate experience.
- Apply governance and validation practices to sensitive HR data, and support the HR team’s data proficiency.
What they ask for
- 2+ years of hands-on experience building and maintaining data pipelines in Google Cloud Platform (GCP).
- Strong SQL and Python skills.
- Direct experience extracting and modeling data from at least one major HRIS or ATS platform through its reporting or API layer.
- Demonstrated ability to build custom dashboards and data visualizations using BI platforms or code-based environments.
Nice to have
- Direct experience implementing AI/LLM-based analytics tools.
Tools
Google Cloud Platform (GCP), BigQuery, dbt, SQL, Python, Workday, Greenhouse, Looker
AI focus
Support and enhance an AI-powered analytics user experience; the posting also welcomes a point of view on AI/LLM-based analytics tools and lists implementation experience as a plus.
Model-written summary · the original posting is authoritative