Analytics Engineer, HR Analytics

Elastic; Mountain View (CA); A distancia; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health coverage

Flexible locations

Generous vacation days

Donation matching

Volunteer hours

Parental leave

Descripción de la vacante

Elastic is seeking a hands-on data analytics engineer to build and maintain HR data pipelines on GCP/BigQuery with a dbt model and an AI-powered analytics layer. You will stand up recruiting reporting as a production use case and work with the Director of HR Analytics on architecture decisions.

The role focuses on moving the organization toward self-service insights for senior stakeholders, with dashboards and governance for sensitive data across geographies.

Formación

• 2+ years building and maintaining data pipelines in GCP.
• Strong SQL and Python skills for analytics.
• Experience extracting and modeling data from HRIS/ATS (Workday/Greenhouse).
• Proven ability to build dashboards in Looker/Tableau or code-based tools.
• Ability to work across geographies and time zones.

Responsabilidades

• Build and maintain HR data pipelines in BigQuery/dbt linking HR systems.
• Develop AI-powered analytics layer and self-service dashboards.
• Collaborate with data scientist and central data platform team.
• Establish data governance for sensitive HR and compensation data.
• Create scalable deployment and reporting for recruiting insights.

Conocimientos

SQL

Python

Data pipelines

GCP

Herramientas

dbt

BigQuery

Looker

Tableau

Workday

Greenhouse

Descripción del empleo

United States, California, Mountain View

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.

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.

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.
• 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).

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 a 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 [e-mail]. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Family and Medical Leave Act (FMLA) Poster

Employee Polygraph Protection Act (EPPA) Poster

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