Educational Data Analyst, Medical Education (Hybrid, Chicago)

University of Illinois Chicago; Chicago (IL); Hybrid; USD 75,000 - 95,000; Full time

Job summary

University of Illinois Chicago seeks an Educational Data Analyst for the College of Medicine. The role will maintain relational data, aggregate and report data from multiple sources for longitudinal student assessment, program evaluation, and accreditation reporting.

Responsibilities include building dashboards, data pipelines, and reproducible reporting to support decisions in medical education, admissions, curriculum, and residency match processes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems Management, or related information management field.
• Minimum of one year IT experience in Data Analytics & Integration with BI reporting tooling.
• Experience in statistical analysis of educational data.
• Proficiency in R or another statistical programming language (e.g., Stata, SAS, SPSS, Python).

Responsibilities

• Analyze educational data to answer complex educational and institutional questions.
• Conduct statistical analyses to identify trends, predictors, and disparities in student performance and outcomes.
• Translate data analysis findings into actionable insights for educational leaders and decision-makers.
• Develop reproducible data cleaning, transformation, and aggregation processes.

Skills

Statistical analysis

R

Python

Data visualization

Education

Bachelor's degree in CS/Engineering/IS

Tools

PowerBI

Canvas

Acuity One45

Learningspace

Oasis

eValue

Job description

University of Illinois Chicago seeks an Educational Data Analyst for the College of Medicine. The role will maintain relational data, aggregate and report data from multiple sources for longitudinal student assessment, program evaluation, and accreditation reporting.

Responsibilities include building dashboards, data pipelines, and reproducible reporting to support decisions in medical education, admissions, curriculum, and residency match processes.