Analytics Engineer, HR Analytics

Elastic; United States; On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health coverage for you and family

Flexible locations and schedules

Generous vacation days

Volunteer time allowance

Parental leave

Job summary

United States Digital Space LLC is seeking a hands-on Analytics Engineer to build and maintain HR data pipelines on our GCP/BigQuery/dbt data model with an AI-powered analytics layer. You will collaborate with the data scientist and HR leaders to stand up recruiting reporting as the first production use case on the new stack.

Your mission is to move the organization toward self-service analytics, delivering decision-ready insights to senior stakeholders across time zones and geographies.

Qualifications

• 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 via its reporting or API layer.

Responsibilities

• Build and maintain HR data pipelines linking data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow).
• Develop scalable, self-service dashboards in BI tools or code-based environments.
• Implement data governance practices for sensitive HR and compensation data.
• Automate recruiting reports and translate talent data into actionable insights.
• Monitor data quality and establish a single version of truth across systems.

Skills

GCP

SQL

Python

Data pipelines

HRIS/ATS integration

Tools

Looker

Tableau

BigQuery

dbt

Job description

the company, 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 the company 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 — the company’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, the company 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. the company 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] 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 affec