SAS Data Analyst I or II - Health Data Research
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Role details
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Job description
NORC at the University of Chicago is seeking a qualified Data Analyst I or II (we are open to hiring at either level) to join the Health Sciences Department to support hospital discharge data processing across states and harmonizing and packaging files into a uniform format. At NORC, Data Analysts are early career team members who train and work with our senior Research Scientists, Statisticians, and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination.
As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment., * Collaborate with researchers, statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management, processing, and analysis activities.
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Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation
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Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries.
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Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics.
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Apply AI tools to help improve efficiency.
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Perform other duties as assigned.
Requirements
For this role, proficiency in SAS is a requirement. Experience with R or Python is welcome but not essential. Prior work with healthcare or administrative claims data is preferred, and strong documentation practices are important., * 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.
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Proficiency with data management and data processing.
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0-2 years’ experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical/analytic programming (internships included).
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Strong foundation in areas of statistics, mathematics, and data science.
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Proficient coding skills in SAS are required, including experience with SAS macros
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Additional experience with R or Python is welcome but not essential.
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Prior work with healthcare or administrative claims data is preferred.
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Strong skills in problem solving and quantitative analysis are required. Able to organize and prioritize work assignments to meet project needs.
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Outstanding interpersonal and critical reasoning skills.
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Proficiency with MS Office software.
Benefits & conditions
The pay range for this position is $62,000 - $77,000.
This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. Benefits include, but are not limited to:
- 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
- Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP).
About the company
For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we’re known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT
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