Data Analyst Intern
Office of Analysis & Evaluation (OAE) Fall Intern Project Description
Primary Intern Duties:
Statistical Analysis of Attrition Rates
The Office of Placement at Peace Corps collects data on attrition rates at different application statuses. This project will entail assessing the overall application pipeline, from application to departing for service, and the steps in between, to create a linear regression statistical model of the application process. This model will incorporate various demographic factors such as race and ethnicity, gender, age, and education level, in order to comprehensively model attrition rates and identify key pain points in the application process for each of these demographic categories. This model will then be incorporated into an interactive tool, either Tableau or Excel, in order to create present various scenarios for future recruitment and placement goals. The final product will present the logic for the model, visualization of historical data, and the scenarios using the model to plan for future application goals.
Secondary Analysis
Looking at the same data set of attrition at various statuses in the application pipeline, qualitative analysis will be conducted in order to identify factors that should be incorporated into the application process that will enrich our ability to analyze the data. This will require research into best practices and key indicators from external organizations.
Survey Creation
The Office of Analysis and Evaluation wishes to create a survey to better understand current motivations for applicants and historical trends in the public perception of Peace Corps. Interns would be responsible for designing the survey, mapping the process of creating and releasing a survey to the general public, and collaborating with Peace Corps stakeholders.
Duration of the Internship:
Fall Semester with possibility to extend to Spring Semester contingent on project needs, start of internship, and intern availability dates.
Works Days and Hours:
10-20 hours per week. Hours are flexible, and it is expected you communicate with your supervisor to determine a schedule.
Preferred Skills:
Required:
· Demonstrable statistical analysis skills in R or Stata
· Knowledge of MS Office Suite software including Word, Excel, and PowerPoint
· Ability to work independently as well as part of a team
Desired:
· Coursework or background in statistics
· Experience designing charts, tables, infographics, presentations and other visual products
· Knowledge of R, Tableau, or other relevant software
· Experience researching and organizing historical information from public sources