ElasticElastic logo - Senior Analyst, HR Analytics
Requirements
• 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. • 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, Elastic 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 a minimum of 16 weeks of parental leave
Responsibilities
• 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.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT