# Analytics Engineer, HR Analytics

**Company**: Elastic
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/elastic/jobs/8244449?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_969179ba-8aa

## Description

### 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

## Skills

### Required
- Google Cloud Platform (GCP)
- BigQuery
- dbt
- SQL
- Python
- Looker
- Tableau
- Streamlit
- Plotly

### Nice to have
- AI/LLM-based analytics tools

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/elastic/jobs/8244449?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)