Senior Data Analyst, People Insights

Role Overview

The Senior Data Analyst, People Insights is an individual-contributor role responsible for advanced analytical execution in support of People Insights & Advisory Services. This role focuses on mining, analyzing, and visualizing complex HR and workforce data to surface insights that inform advisory work led by the People Insights & Advisory Services team.

What You Will Do

Conduct rigorous, hypothesis-driven analysis of complex workforce, talent, and organizational questions using appropriate statistical and research methods. Translate business questions into structured analytical approaches, testable hypotheses, and clearly defined data requirements.

Why It Might Be a Fit

This role plays a critical part in identifying patterns, relationships, and repeatable analytical components across complex people data, applying strong analytical judgment and technical rigor to exploratory and hypothesis-driven work.

Requirements

• 3-5 years experience applying advanced statistical analysis, research methods, machine learning, and data-driven problem solving to complex business and/or workforce questions.
• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Operations Research, or a related quantitative discipline.
• Strong hands-on coding experience using Python, R, SQL, or comparable analytical tools to prepare, analyze, validate, and interpret complex data.
• Demonstrated experience applying statistical analysis and research methods, such as hypothesis testing, regression or related modeling techniques, segmentation, group comparisons, and trend analysis.
• Experience using Power BI or a similar business intelligence platform to create clear, accurate, and actionable data visualizations, dashboards, or analytical views.
• Proven ability to independently work through ambiguous analytical questions, assess data and methodological limitations, and select appropriate analytical approaches.
• Ability to translate complex analyses into clear, concise, and business-relevant findings for technical and nontechnical stakeholders.
• Strong written and verbal communication skills and the ability to connect analytical findings to broader workforce, talent, or business considerations.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa sponsorship
• Relocation assistance

Tagged as: Data Analysis