[Hiring] Senior Analyst, HR Analytics @Elastic

Role Description

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.

Qualifications

• 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.

Requirements

• 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 $94,300 — $149,200 USD.
• 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: $113,300 — $179,200 USD.
• 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.

Benefits

• 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.