Staff People Analytics Analyst

What You'll Do

• Partner with HR leaders, People Partners, and cross-functional stakeholders to translate strategic people challenges into high-impact analytics initiatives.
• Conduct advanced statistical analyses and predictive modeling to generate insights across engagement, DEIB, retention, and talent acquisition.
• Design, build, and maintain dashboards and reports that translate complex data into clear, actionable insights for business leaders.
• Lead end-to-end people analytics projects, ensuring alignment with business needs and timely delivery in an agile environment.
• Leverage AI tools such as Claude, Gemini, and Google AgentSpace to enhance analytical workflows and democratize data-driven decision-making across the organization.
• Ensure accuracy, security, and integrity of people data across all analytics processes and reporting solutions.
• Present analytical findings through strong storytelling and data visualization to both technical and non-technical executive audiences.
• Collaborate with HRIS, Finance, and IT teams to ensure alignment, consistency, and accessibility of people data sources.

What We're Looking For

• Bachelor’s or Master’s degree in Data Science, Statistics, I/O Psychology, Economics, Computer Science, or a related quantitative field.
• 5+ years of experience in people analytics, HR analytics, or data science with a focus on human capital.
• Strong expertise in predictive modeling, statistical analysis, and solving complex business problems using people data.
• Proficiency in SQL, Python, and/or R for data manipulation, analysis, and modeling.
• Familiarity with Workday Reporting and Analytics required; experience with Workday Prism, Discovery Boards, or Sheets preferred.
• Strong communication and stakeholder management skills, with the ability to translate complex data into executive-ready insights.
• Deep understanding of employee lifecycle metrics and HR data within fast-paced, agile environments.
• Strategic, consultative mindset with strong attention to detail and a passion for using data to drive business impact.