Educational Data Analyst - Hybrid, Medical Education Insights

UIC; Chicago (IL); Hybrid; USD 75,000 - 95,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life Insurance

Retirement plan

Paid time off

Tuition waivers

Job summary

University of Illinois Chicago is seeking an Educational Data Analyst for the College of Medicine. The role will manage a relational database and aggregate, analyze, and report data from multiple sources for longitudinal student assessment and program evaluation.

Responsibilities include developing dashboards, data pipelines, and recurring reports for medical education progress, accreditation, and institutional decision-making. Strong statistical skills and experience with BI tools are required.

Qualifications

• Bachelor’s degree in CS/Engineering/IS or related field.
• Minimum of one year IT experience in Data Analytics & Integration with reporting.
• Demonstrated experience in statistical analysis of student data in an educational setting.
• Proficiency in R or another statistical programming language (e.g., Python).

Responsibilities

• Analyze educational data to answer complex questions.
• Conduct statistical analyses to identify trends, predictors, and disparities.
• Translate findings into actionable insights for leaders and decision-makers.
• Develop reproducible data cleaning, transformation, and aggregation processes.
• Build and maintain large relational data sets and automated pipelines.
• Create user-friendly dashboards and static reports for program evaluation.
• Support data reporting for accreditation and institutional needs.

Skills

Statistical analysis

Data visualization

Data cleaning

SQL

Education

Bachelor's Degree in Computer Science / Engineering / Information Systems / related field

Tools

R

Python

PowerBI

Excel

Job description

University of Illinois Chicago is seeking an Educational Data Analyst for the College of Medicine. The role will manage a relational database and aggregate, analyze, and report data from multiple sources for longitudinal student assessment and program evaluation.

Responsibilities include developing dashboards, data pipelines, and recurring reports for medical education progress, accreditation, and institutional decision-making. Strong statistical skills and experience with BI tools are required.