Data Analyst Intern (R Programming Focus)

Job Details Job ID: 5904375 Application Deadline: Oct 26, 2026 11:59 PM (Eastern Standard Time) Posted: Aug 26, 2026 Starting Date: Immediately Locations Administration Building - South Bend, Indiana Job Description Duration: 3 – 6 Months Department: Data, Technology & System Improvement Role Overview We are looking for a sharp, detail-oriented Data Analyst Intern to join our team. You will be deep in the syntax of R to strengthen the district’s data infrastructure and transform messy raw data into actionable insights. You’ll work closely with senior analysts to clean complex datasets, design research frameworks, and perform statistical analysis necessary to inform our educational decisions. Key Responsibilities - Data Wrangling: Clean, reshape, and merge disparate datasets using R. - Research Design: Assist in defining research questions, identifying variables, and ensuring robust methodology for internal studies. - Statistical Analysis: Execute descriptive statistics to summarize trends and perform inferential tests (T-tests, ANOVA, Regression) to test hypotheses. - Visualization: Create clear, reproducible reports and interactive data visualizations using rmarkdown, plotly, and leaflet or similar packages. - Automation: Develop R scripts that streamline recurring data collection and cleaning processes.

Skills - Proficiency in R: You should be comfortable writing clean, documented code and using RStudio. - Statistical Grounding: Strong understanding of p-values, confidence intervals, and hypothesis testing. - Data Literacy: Ability to handle missing data, outliers, and data normalization techniques. - Research Background: Experience (academic or professional) in experimental or quasi-experimental research design. - Education: Currently pursuing or recently completed a master’s or doctoral degree in Educational Research, Sociology, Psychology, Statistics, Data Science, or a related field. Position Type: Full-Time Salary: $25 to $25 Per Hour Job Requirements Master degree preferred. Citizenship, residency or work visa required Contact Information Bo Yan, Executive Director of Data, Technology & System Improvement Administration Building Phone: 574-393-3804 Email: [email protected]