Analytics Engineer, HR Analytics
Elastic is hiring an Analytics Engineer, HR Analytics. Level rates it ; you can apply on Elastic.
Level's read on this job
- Works on AI ●●●○ is how Level rates this HR role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include BigQuery, dbt and Google Cloud.
- Level classifies it as a mid-level role.
- Level lists 391 other open roles at Elastic.
AI in this role
Develop HR data pipelines and support an AI-powered analytics layer to drive self-service reporting and insights.
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.
How we rate this
Analytics Engineer, HR Analytics at Elastic rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in HR jobs at this level
Pay
- Typical HR job
- $120k
This posting doesn't list pay. Use the typical HR figure when pay comes up. See HR jobs
Questions you could be asked
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Walk me through how you've used BigQuery in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Pipelines, SQL, Analytics, Data Governance, and BigQuery. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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