Analytics Engineer, HR Analytics

Job Overview

As an Analytics Engineer, HR Analytics at Elastic, you will develop and maintain HR's data pipelines on GCP/BigQuery/dbt data model, with an AI-powered analytics layer on top. This role involves configuring HR-specific pipelines and dbt modeling in partnership with a data scientist, focusing on recruiting reporting and insights.

Responsibilities

Build and Deploy Scalable Analytics

• Develop and maintain data pipelines in BigQuery/dbt, integrating HR data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow).
• Enhance the AI-powered analytics user experience.
• Create scalable, self-service dashboards to reduce reactive data requests.
• Implement data governance practices for sensitive HR and compensation data.
• Foster data proficiency across the HR team.

Recruiting Reporting and Insight Engine

• Automate recurring recruiting reports.
• Translate talent data into insights to improve hiring efficiency and candidate experience.
• Monitor recruiting data for anomalies and establish validation checks.

Technical Requirements

• 2+ years of experience building and maintaining data pipelines in Google Cloud Platform (GCP).
• Strong SQL and Python skills.
• Direct experience with HRIS or ATS platforms (e.g., Workday, Greenhouse).
• Ability to build custom dashboards and data visualizations using BI platforms (e.g., Looker, Tableau) or code-based environments.

What You Bring

• Understanding of HR programs and metrics across the employee lifecycle.
• Strong storytelling and presentation skills.
• Experience working across geographies and time zones.
• Familiarity with AI/LLM-based analytics tools.
• A builder's approach to creating solutions and processes.

Benefits

• Competitive pay
• Health coverage for you and your family
• Flexible locations and schedules
• Generous vacation days
• Matching up to $2000 for financial donations and service
• Up to 40 hours for volunteer projects
• Minimum of 16 weeks of parental leave