Analytics Engineer @Elastic
Data and Analytics
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted Today

[Hiring] Analytics Engineer @Elastic

Today - Elastic is hiring a remote Analytics Engineer. πŸ’Έ Salary: unspecified πŸ“Location: USA

Role Description

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, linking HR data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow).
    • 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) 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 enhance hiring efficiency.
    • Monitor recruiting data for anomalies and build validation checks to establish one version of the truth across systems.

Qualifications

  • 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 (e.g., Workday, Greenhouse) via its reporting or API layer.
  • 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).

What You Bring

  • Broad understanding of HR programs and metrics across the employee lifecycle, including recruiting.
  • Strong storytelling and presentation skills for both VP/executive and non-technical audiences.
  • Experience working across geographies and time zones, tailoring insights to diverse audiences.
  • 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.

Benefits

  • Competitive pay based on the work you do here and not your previous salary.
  • Health coverage for you and your family in many locations.
  • Ability to craft your calendar with flexible locations and schedules for many roles.
  • Generous number of vacation days each year.
  • We match up to $2000 (or local currency equivalent) for financial donations and service.
  • Up to 40 hours each year to use toward volunteer projects you love.
  • Minimum of 16 weeks of parental leave.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Analytics Engineer @Elastic
Data and Analytics
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted Today
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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