Analytics Engineer, HR Analytics

location_on United States · Posted Oct 12, 2026
Salary Range
Market Benchmark
per year (USD)
Verification Score
verified_user 100% Audited
Direct ATS feed sync
Hiring Company Verified Engineering Hub
Original Source
Elastic Greenhouse Board
No middleman fees
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Skill Compatibility Diagnostics

Live technical match evaluated against role architecture & expected skills.

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50% Partial Match

You have foundational skills, but may need to brush up on a few key required domains before the technical loop.

Matched Core Skills
check Python
Complementary Prerequisites
GCP

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About the Role

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter.

What is The Role

This is a hands-on build role that will develop and maintain HR's data pipelines on our GCP/BigQuery/dbt data model, with an AI-powered analytics layer on top. Core platform infrastructure is provisioned centrally; you'll help configure HR-specific pipelines and dbt modeling work on top of it, in partnership with our data scientist, and stand up recruiting reporting and insights as the first production use case on the new stack. This role reports directly to the Director of HR Analytics, with high visibility into architecture and stakeholder-facing decisions from day one.

Your mission is to move the organization away from manual reporting and toward a mature, self-service environment where senior stakeholders get decision-ready answers, not just data.

What You Will Be Doing

Build and Deploy Scalable Analytics

  • Build and maintain data pipelines in BigQuery/dbt, on infrastructure provisioned by the central data platform team, that link HR data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow), so we can trace how hiring decisions affect long-term engagement and retention.
  • Support and enhance the AI-powered analytics user experience.
  • Develop scalable, self-service dashboards that reduce time spent on reactive, one-off data requests.
  • Implement data governance practices (access controls, validation, documentation) in line with team standards for sensitive HR and compensation data.
  • Build data proficiency across the broader HR team as part of the shift to self-service.

Recruiting Reporting and Insight Engine

  • Automate recurring recruiting reports to eliminate manual data wrangling.
  • Translate talent data into insights that identify pipeline bottlenecks, improve candidate experience, and improve hiring efficiency.
  • Monitor recruiting data for anomalies and build validation checks to establish one version of the truth across systems.
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Key Technical Responsibilities

  • check_circle Build and maintain data pipelines in BigQuery/dbt on infrastructure provisioned by the central data platform team
  • check_circle Link HR data across the employee lifecycle including Workday, Greenhouse, Qualtrics, and ServiceNow
  • check_circle Support and enhance the AI-powered analytics user experience
  • check_circle Develop scalable, self-service dashboards that reduce time spent on reactive, one-off data requests
  • check_circle Implement data governance practices including access controls, validation, and documentation for sensitive HR and compensation data
  • check_circle Build data proficiency across the broader HR team as part of the shift to self-service
  • check_circle Automate recurring recruiting reports to eliminate manual data wrangling
  • check_circle Translate talent data into insights that identify pipeline bottlenecks, improve candidate experience, and enhance hiring efficiency
  • check_circle Monitor recruiting data for anomalies and build validation checks
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Prerequisites & Qualifications

  • check 2+ years of hands-on experience building and maintaining data pipelines in Google Cloud Platform (GCP)
  • check Strong SQL and Python skills
  • check Direct experience extracting and modeling data from at least one major HRIS or ATS platform via its reporting or API layer (e.g., Workday, Greenhouse)
  • check Demonstrated ability to build custom dashboards and data visualizations using standard BI platforms or code-based environments
  • check Broad understanding of HR programs and metrics across the employee lifecycle, including recruiting
  • check Strong storytelling and presentation skills for both VP/executive and non-technical audiences
  • check Experience working across geographies and time zones, tailoring insights to diverse audiences
  • check A builder's approach with comfort creating solutions, frameworks, and processes with limited existing scaffolding
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About Elastic Greenhouse Board

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Elastic Greenhouse Board is a technology and software company based in the United States, operating as an active hiring employer.

Engineering Culture: Specific details regarding the engineering standards, internal mission, and core philosophy of Elastic Greenhouse Board are not publicly documented at this time.
Analytics Engineer, HR Analytics
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