SAS Data Analyst I or II - Health Data Research

NORC at the University of Chicago
Chicago, IL, United States
2 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$62,000.0 - $77,000.0
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Databases Data Files Data Systems Document-Oriented Databases Python (Programming Language) SAS (Software) Data Processing

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.

Requirements

Data Analysis, Statistical Analysis System (SAS), Analysis Skills, Quality Assurance, Health Science, Hospital, Data Science, Data Analysis, Data Processing, Scientific Research, 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., 0-2 years’ experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical/analytic programming (internships included)., Additional experience with R or Python is welcome but not essential. *

* * 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. *

Benefits & conditions

The pay range for this position is $62,000 - $77,000., * 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

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. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge., 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.

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