Summary written by USA Jobs 24 from Elastic's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Elastic is hiring a Analytics Engineer, HR Analytics in United States. It is a full-time role in Data, AI & Analytics, asking for at least 2 years of experience, first listed on November 1. The description mentions Google Cloud, Workday, ServiceNow, SQL, Python and Tableau. Elastic has 99 other openings in the US. Across all employers on USA Jobs 24 there are 1,778 Data & AI openings in the US today; the typical one asks for 5 years and advertises about $206,000 a year at the midpoint.
How the pay compares
Elastic has not published pay for this job, or we could not find it in the advert. Of the 1,778 data & AI jobs across the US on USA Jobs 24, 69% show pay, and the typical yearly midpoint among them is $206,000. That gives you a fair starting point when the subject comes up.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Python is the most widely requested (46% of jobs), while ServiceNow is the least common (1%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Elastic's Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in United States. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 2 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Google Cloud, Workday and ServiceNow, wherever they are true for you. Our resume guide shows how.
- Apply only through Elastic's own site. Our Apply button goes straight to Elastic's Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Elastic
Elastic has 100 openings on USA Jobs 24 today across 10 states. Most are in software & IT (53), sales & BD (21) and data & AI (10). The biggest locations are San Francisco, CA (5), New York, NY (4) and Arlington, VA (3). None of them is fully remote, 2% are open to entry-level candidates and 94% show pay. We collect Elastic's jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Elastic's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from ElasticHide the advert993 words
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 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 candidate_accessibility@elastic.co. 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.
USA Jobs 24 copied this listing from Elastic's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Elastic will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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