Analytics Engineer, HR Analytics

Elastic is the Search AI Company, providing cloud-based solutions for search, security, and observability that help organizations use structured and unstructured data. The Analytics Engineer will build and maintain HR data pipelines and dbt models on GCP and BigQuery, develop AI-powered analytics and self-service dashboards, and establish recruiting reporting and insights. The role will also implement data governance, automate reports, and translate talent data into actionable insights for stakeholders.

Responsibilities:

• 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
• 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

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
• 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)
• 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
• A builder's approach: comfortable creating solutions, frameworks, and processes with limited existing scaffolding, while working within a set architectural direction
• direct experience implementing one