People Analytics Intern, PhD, Summer 2026

About the Role

Key Responsibilities

• Work with the People Analytics team to design and implement new studies, analyze data and report on results of research initiatives to a business audience.
• Communicate findings and recommendations to influence leaders to take action on the results.
• Write research briefs.
• Conduct statistical analysis (e.g., correlation, regression, factor analysis, T-test, ANOVA) using survey and archival data with analyses conducted in R.

Requirements

• Currently enrolled in a PhD program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology or a related field.
• Experience designing, developing, and conducting survey or experimental research.
• Experience analyzing and manipulating data in R, SPSS, STATA, or other statistical languages.

Nice to Have

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
• Experience conducting applied research in organizations.
• Topical experience in one of the following areas: performance management, individual and team-level performance and productivity, individual difference (e.g., personality traits, behaviors, well-being), selection and assessment (including relevant psychometric methods), decision science and behavior change, or quantitative text analysis.
• Experience using R for statistical analysis and data visualization.
• Experience in SQL or other scripting languages and experience with future proofing code to be long lasting (e.g., detailed documentation).
• Experience with statistical analyses, including fundamentals (e.g., ANOVAs or regressions) and with one or more advanced approaches (e.g., factor analysis, network analysis, HLM, SEM).

Qualifications

• Currently enrolled in a PhD program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology or a related field.
• Experience designing, developing, and conducting survey or experimental research.
• Experience analyzing and manipulating data in R, SPSS, STATA, or other statistical languages.

Benefits & Perks

• The US base salary range for this full-time position is $92,000-$112,000.
• Our salary ranges are determined by role, level, and location.
• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
• Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.