Clean, structure, and analyze people and workforce data from HR systems
Assist in exploring AI-enabled approaches to automate analysis, enhance reporting, or generate insights responsibly
Build clear, effective data visualizations in PowerBI, Excel, Workday, or other tools
Write scripts in Python, R, or SQL to prepare and analyze data sets
Perform exploratory data analysis to identify trends, patterns, and insights
Support statistical analyses (e.g., regression, correlation, hypothesis testing)
Translate findings into clear summaries for HR and business leaders
Contribute to documentation of methodologies, data definitions, and analytical outputs
Present project outcomes and recommendations at the end of the internship

Requirements

Pursuing a degree in Data Science, Statistics, Industrial/Organizational Psychology, HR Analytics, Computer Science, or a related field
Working knowledge of at least one programming language such as Python, R, or SQL
Strong Excel skills and ability to work with structured datasets
Foundational understanding of statistical modeling concepts and interest in AI as applied to analytics
Strong analytical thinking and problem-solving ability
Ability to communicate findings clearly and concisely
Experience with data visualization tools, especially Power BI

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRSQLdata visualizationstatistical analysisregressioncorrelationhypothesis testingdata analysisdata cleaning

Soft Skills

analytical thinkingproblem-solvingcommunicationdocumentationpresentation