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Analytics Engineer

  • Office
  • 0-3 years

Salary

Not stated

Similar roles pay $140K - 200K a year · our estimate

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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. 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 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, 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

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 the company's site . 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 the company.

Please see here for our Privacy Statement.

Where you’d work

From the office

About the company

Company hidden

  • Industry: SaaS

Office in United States

Your chances

Still hiring, not crowded yet, and a person reads your message.

  • 17 checks run
  • 7 good signs
  • 1 red flag

Still hiring?

12 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 9 h agoModerate evidence
  • Posted yesterday: newer than 95% of open rolesModerate evidence
  • The company opened 43 roles and closed 34 in the last 2 weeks: hiring is movingModerate evidence
1 moreFewer
  • A hiring contact is attached to itSlight evidence

How crowded?

5 checks

Low

In its favour3

  • Open for 1 day: you'd be among the earlier applicantsModerate evidence
  • You can message the hiring contact and skip the queueModerate evidence
  • Asks for Looker, which fewer than 1% of open roles doSlight evidence

Against it1

  • Entry level: the most applied-to level there isModerate evidence

Fits Me

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  • Must-haves
Details10 facts · Role, Location, Compensation, Company
Tech stack
  • Python
  • SQL
  • Google Cloud
  • dbt
  • Tableau
  • Looker
  • BigQuery
  • LLMs
Industry
SaaS
Specialty
BI
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
BI
Experience
2+ years
Tech stack
  • Python
  • SQL
  • Google Cloud
  • dbt
  • Tableau
  • Looker
  • BigQuery
  • LLMs

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Company

Industry
SaaS

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