SAS Data Analyst I or II – Health Data Research
About The Position
NORC at the University of Chicago is seeking a qualified Data Analyst I or II to join the Health Sciences Department. This role will support hospital discharge data processing across states, harmonizing and packaging files into a uniform format. Data Analysts at NORC are early career team members who work with senior researchers to perform tasks such as data processing, quality assurance, analysis, and dissemination. Responsibilities include importing, cleaning, standardizing, transforming, and validating data sets, as well as researching and documenting data procedures and supporting the investigation of data problems. They may also identify, analyze, and interpret trends or patterns in data sets, and help prepare data presentations and reports, including developing charts, graphs, and tables. Additionally, the Data Analyst may assist in data collection and harmonization from various sources, preparing data files for delivery, and maintaining databases and relevant metadata. Proficiency in SAS is required, with experience in R or Python being a plus. Prior work with healthcare or administrative claims data and strong documentation practices are preferred. This position requires eligibility to work in the U.S. without visa sponsorship.
Requirements
- Bachelor’s degree in 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.
- Prior work with healthcare or administrative claims data is preferred.
- 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.
- Must be eligible to work in the U.S. without visa sponsorship.
Nice To Haves
- Experience with R or Python is welcome but not essential.
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.
Benefits
- 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
- Holidays
- Paid parental leave
- Bereavement leave
- Tuition assistance
- Employee Assistance Program (EAP)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
