Analytics Engineer, HR Analytics
Summary
Analytics Engineer who builds and maintains HR data pipelines on Elastic's GCP/BigQuery/dbt stack with an AI-powered analytics layer, starting with recruiting reporting. Day to day: connecting HR systems (Workday, Greenhouse, Qualtrics, ServiceNow), automating reports, building self-service dashboards, and governing sensitive HR data. Requires 2+ years of GCP pipelines plus strong SQL and Python.
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)
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Skills
As published by greenhouse · 11 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (5)
- Preferred First Name optional
- Professional Profile (LinkedIn, Github, Website, etc) optional
- In what countries do you have the unrestricted right to work?
- Gender Pronouns (She/Her/Hers, He/Him/His, They/Them/Theirs, etc.) optional
- Where did you gain your GCP experience? Please list the company and role(s), approximate dates, and the specific GCP tools you used (for example, BigQuery, dbt, Cloud Composer, Dataflow).
Pick from a list (5)
- Will you require Elastic's sponsorship to continue or extend your work authorization status?
- By selecting 'I acknowledge' and submitting this application, you confirm that you have read Elastic's Candidate Privacy Statement and understand how your data will be processed to evaluate your candidacy. In jurisdictions where consent is legally required, your submission constitutes express consent to the processing of your personal data for recruitment purposes.
- How should we communicate with you?
- Which of the following have you personally done in a professional role? (select all that apply)
- Which of the following have you personally Built, extended, or substantially modified in a production environment? (select all that apply)
Written answers (1)
- Describe a specific project in three parts: (1) What HR or talent data source did you work with directly, and what was your role in extracting or building on it? (2) Which teams or stakeholders did this work support? (3) What decision or outcome did it enable?