Jobs and Careers

Senior Analyst, HR Analytics

United States, United Statesfull_timeVerifiedPosted 1 Jun 2026

💰 $179,200/yr($94,300/yr – $179,200/yr)

About the role

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

The Senior HR Analyst is a hands-on "builder" role designed to bridge the gap between complex recruiting data and actionable business strategy. You will work directly with the recruiting team to deliver recurring insights, ad-hoc analytics, and compliance-based reporting. As part of the HR Analytics team, you will build and deploy scalable insights in our foundational HR data tools.

Your mission is to move the organization away from manual reporting and toward a mature, AI-powered self-service environment, ensuring that team members don’t just have data, but have decision confidence.

What You Will Be Doing

Architecting the Recruiting Reporting and Insight Engine
- Automate Reporting: Streamline recurring recruiting reports (Greenhouse, LinkedIn, One Model) to eliminate manual "data wrangling"
- Recruiting Strategy Partner: Translate talent data into insights that identify bottlenecks, improve candidate experience, and enhance hiring efficiency.
- Data Quality & Governance: Monitor recruitment data for anomalies and establish validation checks to ensure "one version of the truth" across systems.
- Establish a prioritization method to handle ad-hoc reporting and analytics requests across the recruiting team.
- Enablement: Build data proficiency within the team, moving us toward self-service tools, so answers can be found in real-time.
Build and Deploy Scalable Analytics
- Connect the Dots: Help build data pipelines that link recruiting (Greenhouse) to the broader employee lifecycle (Workday, Glint, ServiceNow) to show how hiring decisions impact long-term engagement and retention.
- Tool Modernization: Support the transition and optimization of our analytics tech stack (e.g., One Model, Visier) and survey tools (Glint).
- Self-Service: Develop scalable dashboards that increase access to HR data, reducing the time we spend on reactive questions.
- AI Integration: Explore and deploy AI-powered tools that simplify how users interact with and interpret people data.

What You Bring

Proven experience in HR Analytics with proficiency in data engineering.
Hands-on experience with applicant tracking systems, Workday, and analytics platforms.
Proficiency in data visualization tools (One Model, Visier, Looker) and comfort querying data (SQL, R, or Python a plus).
Strong storytelling and presentation skills for both technical and non-technical audiences.
Experience across geographies and time zones, tailoring insights to diverse audiences.
Curiosity about AI and how it can simplify insight delivery and decision support.
Broad understanding of HR programs and metrics across the employee lifecycle, including recruiting.
A builder’s approach, comfortable crafting solutions, frameworks, and processes in a fast-evolving analytics environment.

#LI-JM5

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to partici