Hybrid SAS Data Analyst - Hospital Discharge Research

DataJobs; Chicago (IL); Hybrid; USD 62,000 - 77,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

Retirement plan

Life insurance

Disability insurance

Paid time off

Parental leave

Job summary

NORC at the University of Chicago seeks a Data Analyst I or II to support hospital discharge data processing across states, harmonizing and packaging files into a uniform format. The role blends SAS-based processing with QA, analysis support, and collaboration with research and technical teams.

Responsibilities include partnering with researchers and statisticians to implement data management, writing SAS programs and macros for cleaning and transformation, maintaining data dictionaries, and

Qualifications

• Bachelor’s degree in quantitative fields (e.g., statistics, biostatistics, data science, public health) or related.
• Experience with data management and data processing is required.
• 0–2 years of increasing responsibility in data/analytic roles or internships.

Responsibilities

• Partner with researchers, statisticians, data scientists, technology experts, and SMEs to implement and improve data management, processing, and analysis activities.
• Write SAS programs and scripts for data cleaning, integration, transformation, and harmonization, including data quality checks and validation.
• Support and enhance existing applications and databases used for research needs, and produce data documentation and dictionaries.
• Contribute to documentation, reports, and presentations by writing sections, creating basic analytic summaries, and developing tables and graphics.
• Use AI tools to improve efficiency.
• Perform other duties as assigned.

Skills

SAS coding

Data management

Statistics

MS Office

Education

Bachelor’s degree in quantitative fields

Tools

SAS

SAS macros

R

Python

MS Office

Job description

NORC at the University of Chicago seeks a Data Analyst I or II to support hospital discharge data processing across states, harmonizing and packaging files into a uniform format. The role blends SAS-based processing with QA, analysis support, and collaboration with research and technical teams.

Responsibilities include partnering with researchers and statisticians to implement data management, writing SAS programs and macros for cleaning and transformation, maintaining data dictionaries, and