People Analytics Intern, PhD, Summer 2025
9 Months ago • Upto 1 Years • $92,000 PA - $109,000 PA
Job Description
This internship involves working with the People Analytics team to design and implement new studies, analyze data, and report research findings to a business audience. The role requires communicating findings and recommendations to influence leaders, writing research briefs, and conducting statistical analyses (correlation, regression, factor analysis, T-tests, ANOVA) using survey and archival data in R. The ideal candidate is a PhD student in a relevant field (I/O Psychology, Organizational Behavior, etc.) with experience in research design, data analysis (R, SPSS, STATA), and statistical methods. Familiarity with advanced statistical approaches (factor analysis, network analysis, HLM, SEM) and SQL/scripting is preferred. The internship is full-time for 12 weeks outside of university term time, and the salary range is $92,000-$109,000.
Good To Have:
- Applied organizational research
- Advanced statistical methods
- SQL/scripting experience
- Experience with specific topical areas (DEI, performance management, etc.)
- R for data visualization
Must Have:
- PhD in relevant field
- Research design & execution
- Data analysis (R, SPSS, STATA)
- Statistical analysis expertise
- Communication & reporting skills
Minimum 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.
Preferred qualifications:
- 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), DEI (diversity, equity, and inclusion), selection and assessment (including relevant psychometric methods), decision science and behavior change, or quantitative text analysis.
- 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).
- 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).
About the job
We are a group of social scientists who conduct experimental, survey, and archival research to inform people-related business decisions. Example content areas include, but are not limited to: decision making, DEI (diversity, equity and inclusion), leadership, employee well-being, hiring, performance management, performance development, personality, longitudinal data analyses, and social networks. We have strong research backgrounds, with PhDs in I/O Psychology, Organizational Behavior (micro & macro), Sociology, Social Psychology, Anthropology, Behavioral Economics, and related fields.
The US base salary range for this full-time position is $92,000-$109,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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. Learn more about .
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.
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