Analytics Engineer, HR Analytics

Sorry, this job was removed at 10:27 p.m. (UTC) on Monday, Oct 05, 2026
Hiring Remotely in United States
Remote
Junior
Cloud • Security • Software • Generative AI
Elastic, the Search AI Company, helps everyone find the answers they need in real time, using all their data, at scale.
The Role
Build and maintain HR data pipelines and dbt models on GCP and BigQuery, integrating systems such as Workday and Greenhouse. Develop self-service dashboards, recruiting reports, data validation, governance, and AI-powered analytics experiences. Translate HR and recruiting data into actionable insights, improve reporting automation, and support stakeholders with decision-ready information while helping establish scalable analytics processes.
Summary Generated by Built In

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 DoingBuild 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.

Technical Requirements
  • 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. General dashboard-level reporting experience is not a substitute.
  • 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.


#LI-JM5

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • 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
  • Increase your impact - 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
  • Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected]. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

Skills Required

  • 2+ years of hands-on experience building and maintaining data pipelines in Google Cloud Platform
  • Strong SQL skills
  • Strong Python skills
  • Direct experience extracting and modeling data from at least one major HRIS or ATS platform, such as Workday or Greenhouse, through reporting or API systems
  • Experience building custom dashboards and data visualizations using BI platforms such as Looker or Tableau, or code-based tools such as Python, Streamlit, or Plotly
  • Broad understanding of HR programs and metrics across the employee lifecycle, including recruiting
  • Strong storytelling and presentation skills for executive and non-technical audiences
  • Experience working across geographies and time zones with diverse audiences
  • Builder mindset and ability to create solutions, frameworks, and processes with limited existing scaffolding
  • Point of view on AI or LLM-based analytics tools
  • Direct experience implementing AI or LLM-based analytics tools

Elastic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elastic and has not been reviewed or approved by Elastic.

  • Fair & Transparent Compensation — Pay is considered competitive across many technical and go‑to‑market roles and compares well within its peer group. Strong equity components and benefits bolster perceived total compensation.
  • Healthcare Strength — Health coverage is described as fully paid for employees and families in many locations, which is unusually generous among tech firms. Comprehensive medical, dental, and vision coverage is emphasized in official materials.
  • Parental & Family Support — A minimum of 16 weeks of paid parental leave is offered globally, with additional family‑formation support. These policies are positioned as core elements of the package.

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The Company
HQ: San Francisco, CA
3,222 Employees
Year Founded: 2012

What We Do

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.

Why Work With Us

Free and open isn’t just how we build our products, it’s how we build our culture. We value creativity and mobility, so you can grow how (and where) you want to… and be happier at work.

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