People Data Analyst

CHAOS Industries•Hawthorne, CA

2d•$150,000 - $200,000•Onsite

About The Position

We are looking for a highly analytical and mission-driven People Data Analyst to join our HR team. In this role, you will leverage data to inform critical decisions about our workforce, improve employee experience, and drive organizational effectiveness. You will operate as both a data expert and a strategic partner—working cross-functionally with People, Finance, and business leaders to translate complex data into actionable insights. This role is ideal for someone who thrives in fast-paced environments and wants to directly influence how organizations scale and perform.

Requirements

3–6 years of experience in data analytics, business intelligence, or people analytics
Strong SQL skills and experience working with large datasets
Experience with data visualization tools (e.g., Tableau, Looker, Power BI)
Proficiency in Excel/Google Sheets for modeling and analysis
Ability to communicate complex data clearly to non-technical stakeholders

Nice To Haves

Experience in People Analytics, HR, or organizational data
Familiarity with HRIS systems (e.g., Workday, Greenhouse, Lever)
Experience with Python or R for advanced analytics
Understanding of statistics, experimentation, and forecasting methods
Experience in high-growth or operationally intensive environments

Responsibilities

Build and maintain dashboards, reports, and data models that provide visibility into key people metrics (headcount, attrition, engagement, performance, DEI)
Ensure data accuracy, integrity, and consistency across HR systems
Develop scalable data pipelines and reporting frameworks
Analyze workforce data to identify trends, risks, and opportunities
Partner with leadership to inform decisions on hiring, retention, and organizational design
Translate ambiguous business questions into structured analyses and clear recommendations
Evaluate the effectiveness of people programs (performance reviews, engagement initiatives, learning & development)
Collaborate with HRIS and engineering teams to improve data architecture and accessibility
Automate manual reporting processes
Establish best practices for data governance and documentation