Analytics Engineer, Elastic
HR Analytics
Open source platform powering search, observability, security, and more
Open for applications
Open source platform powering search, observability, security, and more
1001+ employees
Open for applications
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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)
What the job involves
- 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
- 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
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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