Advanced Data Analysis & Insights Intern

Summary

Join iMentor as an Advanced Data Analysis & Insights Intern and contribute to the analysis and interpretation of survey data from students and mentors participating in iMentor programs. You will be involved in data cleaning, statistical analysis, and deriving actionable insights from the findings. This internship will provide you with the opportunity to work with the Organizational Learning & Impact team and interact with other departments and stakeholders. The project involves creating a pair dataset, characterizing mentoring relationships, and assessing the association between pair factors and student outcomes. You will gain valuable experience in data analysis, research, and communication, while contributing to iMentor's mission of empowering students through mentorship.

Requirements

• Graduate student or equivalent with strong quantitative skills in applied statistics, organizational development, organizational psychology, public administration, education, psychology or sociology
• Experience with quantitative research methodologies in the social sciences
• Interest in youth development, education, and mentoring
• Proficiency with both Excel and R (including scripting and multivariate statistics). Note: All candidates who are selected to be interviewed will be required to complete a short statistical analysis exercise at the conclusion of the interview
• Excellent verbal and communication skills
• Ability to work well in groups
• Detail oriented
• The successful candidate will also be required to undergo a background check, in compliance with requirements from our schools and school districts

Responsibilities

• Prepare data files, including data cleaning, recoding variables, computing new variables, and aggregating and splitting datasets using R
• Conduct statistical analyses in R, including descriptive and inferential analyses
• Work with team to interpret and derive actionable insights from findings
• Work with team to design visualizations that effectively communicate complex data to lay audiences
• Review academic and industry literature for relevant contextual information
• Conceptualize and propose topics for further analysis and research

Benefits

• Hours: 20 hours per week, 9:30AM-5:30PM Eastern with some flexibility
• Duration: June – August 2025
• Compensation: $30/hour
• PTO: One hour of sick time accrued for every 30 hours worked