SAS Data Analyst I or II – Health Data Research

Summary

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. The Data Analyst I or II will support hospital discharge data processing, harmonization, quality assurance, analysis, documentation, and dissemination within the Health Sciences Department. The role involves collaborating with researchers and technical experts to develop data-processing programs, maintain databases, and prepare reports and visualizations.

Responsibilities

• Collaborate with researchers, statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management, processing, and analysis activities
• Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation
• Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries
• Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics
• Apply AI tools to help improve efficiency
• Perform other duties as assigned

Skills

• Bachelor's degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required
• Proficiency with data management and data processing
• 0-2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical/analytic programming (internships included)
• Strong foundation in areas of statistics, mathematics, and data science
• Proficient coding skills in SAS are required, including experience with SAS macros
• Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs
• Outstanding interpersonal and critical reasoning skills
• Proficiency with MS Office software
• Qualified applicants must be eligible to work in the U.S
• Location : This is a hybrid role based in either our Chicago Loop or downtown DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well
• Prior work with healthcare or administrative claims data is preferred
• Additional experience with R or Python is welcome but not essential

Qualifications

Must Haves

• Bachelor's degree in one of the following fields: quantitative social sciences, public health, statistics, biostatistics, health informatics, math, data science, or computer science, or related field required
• Proficiency with data management and data processing
• 0-2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical/analytic programming (internships included)
• Strong foundation in areas of statistics, mathematics, and data science
• Proficient coding skills in SAS are required, including experience with SAS macros
• Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs
• Outstanding interpersonal and critical reasoning skills
• Proficiency with MS Office software
• Qualified applicants must be eligible to work in the U.S
• Location : This is a hybrid role based in either our Chicago Loop or downtown DC office, with a minimum of six days per month in the office. Exceptional remote candidates may be considered as well

Nice to Haves

• Prior work with healthcare or administrative claims data is preferred
• Additional experience with R or Python is welcome but not essential

Benefits

• Hybrid role based in either the Chicago Loop or downtown DC office, with a minimum of six days per month in the office; exceptional remote candidates may be considered as well.
• Generously subsidized health insurance, effective on the first day of employment
• Dental and vision insurance
• A defined contribution retirement program, along with a separate voluntary 403(b) retirement program
• Group life insurance, long-term and short-term disability insurance
• Generous paid time off and holidays
• Paid parental leave
• Bereavement leave
• Tuition assistance
• Employee Assistance Program (EAP)
• Business casual environment
• Emphasis on continuous learning