People Data Analyst

• 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
• 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

Benefits

• Generous pre-IPO stock option grants, relocation assistance + (coming soon!) annual bonuses
• Free daily lunch, ‘No meeting Fridays’, unlimited PTO (for exempt employees), casual dress code
• Life, FSA, HSA, 401k (+ Company match), and more
• Medical, dental and vision benefits will be 100% paid for by the company- We are looking for a highly analytical and mission-driven People Data Analyst to join our HR team
• This role is ideal for someone who thrives in fast-paced environments and wants to directly influence how organizations scale and perform
• Ability to communicate complex data clearly to non-technical stakeholders
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI)
• 3–6 years of experience in data analytics, business intelligence, or people analytics
• Strong SQL skills and experience working with large datasets
• Proficiency in Excel/Google Sheets for modeling and analysis
• Experience in People Analytics, HR, or organizational data
• Familiarity with HRIS systems (e.g., Workday, Greenhouse, Lever)
• Understanding of statistics, experimentation, and forecasting methods
• Experience with Python or R for advanced analytics
• Experience in high-growth or operationally intensive environments