Analytics Engineer, HR Analytics

🏢 Elastic · 📍 United States

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Position Summary & Responsibilities

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. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

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 w

🎯 Candidate Preparation Guide For Elastic Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Distributed systems expertise combined with adherence to the 'Source Code' company culture of asynchronous, high-trust autonomy.

📋 Preparation Priorities (Key Areas to Clarify):

1. Requiring heavy micromanagement or structured office-bound environments
2. Superficial understanding of search relevance, vector databases, or log analytics scaling
3. Arrogance when discussing open-source contributions or community codebases

✨ Recommended Role Alignment Hook:

I scale distributed search and observability engines while thriving in a high-trust, asynchronous, source-available culture.

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