Staff Data Analyst, People Analytics
Develops workforce dashboards, predictive models, and AI-enabled insights across the employee lifecycle. The role requires a quantitative bachelor's degree, 5–8 years of relevant analytics experience, and expertise in SQL, Python or R, visualization, statistical modeling, and HR data platforms.
About the job
Responsibilities
People Analytics & Insights
- Analyze the employee lifecycle, including hiring, onboarding, development, and exit, through dashboards and reports covering hiring, attrition, engagement, performance, promotions, compensation, headcount, and organizational health.
- Partner with People Business Partners, Talent Acquisition, Compensation, Finance, and other Centers of Excellence on quarterly business reviews, workforce planning, and organizational effectiveness initiatives.
- Design scalable reporting solutions and self-service dashboards for trusted workforce insights.
- Collaborate with HR Technology and data teams on data quality, governance, and consistency across people-data platforms.
- Translate business questions into analytical approaches and communicate findings through visualizations and executive-ready presentations.
Advanced People Analytics
- Design, develop, and maintain predictive models to identify workforce trends, risks, and opportunities.
- Apply regression analysis, clustering, forecasting, survival analysis, and segmentation.
- Build and validate models for attrition prediction, workforce forecasting, employee lifecycle and tenure analysis, and hiring and talent pipeline analytics.
- Recommend data-driven solutions for workforce planning and organizational decision-making.
- Evaluate emerging analytical methods and technologies to improve People Analytics capabilities.
AI and Natural Language Processing
- Apply Natural Language Processing techniques to employee feedback from surveys, onboarding, exit interviews, and other listening channels.
- Use topic modeling, sentiment analysis, and text analytics to identify themes and actionable insights.
- Prototype Generative AI use cases for narrative reporting, workforce trend summaries, and people-insight delivery.
- Evaluate AI-enabled solutions while maintaining appropriate governance and data-privacy standards.
Requirements
- Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field, or equivalent education and experience.
- 5–8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline.
- Advanced proficiency in Tableau, Snowflake, Excel, SQL, and enterprise HR platforms such as Workday, ServiceNow, and Greenhouse.
- Strong programming skills in Python and/or R for statistical analysis, predictive modeling, and automation.
- Experience with advanced statistical methods, large complex datasets, data management, and governance.
- Strong analytical, problem-solving, data visualization, storytelling, communication, collaboration, and project management skills.
- Ability to translate complex findings into business recommendations and influence cross-functional decisions.
Nice-to-Haves
- Familiarity with Generative AI, Natural Language Processing, and emerging AI technologies applied to analytics.
Skills
Tableau, Snowflake, Excel, SQL, Workday, Servicenow, Greenhouse, Python, R, Regression Analysis, Clustering, Forecasting, Natural Language Processing, Generative AI
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