Senior Associate Data Analyst, Wonder

• A data storyteller who thrives in ambiguity and loves translating numbers into business actions
• Highly analytical with expertise in applied statistics, predictive modeling, and time-series analysis
• Deeply curious about human behavior in the workplace and passionate about using data to improve employee experiences
• Comfortable working in a fast-paced, high-growth environment with a labor-heavy workforce
• 3+ years of experience in People Analytics, Workforce Planning, or related field, ideally supporting both hourly and corporate populations
• Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, or similar)
• Experience with predictive modeling, regression analysis, and statistical programming languages (e.g., Python, R)
• Strong understanding of workforce data, including turnover, scheduling, compensation, and performance
• Hands-on experience with Qualtrics or similar survey platforms, including survey design and analysis
• Excellent communication and data storytelling skills—able to explain technical findings to non-technical audiences

Desirable

• Come join this NYC based team
• As a People Data Analyst, you will play a critical role in transforming raw people data into actionable insights that shape strategic decisions across the business
• With a heavy focus on predictive analytics, labor market trends, and AI-powered modeling, you will help us tell the story behind the data—driving efforts to improve hourly labor stability, reduce attrition, and elevate employee engagement and commitment.You’ll partner with HR, operations, and finance to uncover workforce patterns and trends that enable smarter, faster, and more people-centered decisions in a high-growth, labor-intensive environment
• Develop advanced predictive models (e.g., turnover forecasting, engagement predictors, retention risk scoring) using statistical and machine learning techniques
• Analyze internal and external labor market data to inform workforce planning, staffing strategies, and competitive positioning for hourly talent
• Own the end-to-end strategy, deployment, and analysis of large-scale people surveys (e.g., engagement, 360 feedback) using Qualtrics
• Create data visualizations and dashboards that communicate key workforce metrics and trends in a compelling and actionable way
• Translate complex data sets into strategic narratives for HR, business leaders, and cross-functional stakeholders
• Conduct root-cause and correlation analyses to uncover drivers of attrition, engagement, and performance across diverse workforce segments
• Integrate data from multiple systems (Workday, Qualtrics, scheduling, payroll, etc.) to deliver cross-functional insights
• Ensure data integrity through routine audits, anomaly detection, and partnering with HR Ops and Tech to improve source data quality