People Analytics Research Intern (12-Week US)

Google; Mountain View (CA); On-site; USD 99,000 - 132,000; Full time

Job summary

Google is seeking PhD students for an internship focused on people analytics. You will design studies, analyze survey and archival data, and present findings to business leaders. Proficiency in R, Python, and SQL is expected, with communication designed for a non-academic audience.

Applicants must be enrolled in a relevant PhD program and available for a 12-week period in the United States. Salary ranges are provided for the US market, and the role emphasizes rigor, reproducibility, and

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, Python, SQL, or other statistical programming languages.

Responsibilities

• Learn more about benefits at Google.
• 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.

Skills

Survey design

Data analysis

Statistical programming

Education

PhD student in I/O psychology

Tools

R

Python

SQL

Job description

Google is seeking PhD students for an internship focused on people analytics. You will design studies, analyze survey and archival data, and present findings to business leaders. Proficiency in R, Python, and SQL is expected, with communication designed for a non-academic audience.

Applicants must be enrolled in a relevant PhD program and available for a 12-week period in the United States. Salary ranges are provided for the US market, and the role emphasizes rigor, reproducibility, and