Data Analyst II - SAS, R, and Python - Hybrid Chicago or Washington, DC Office

NORC at the University of Chicago•Chicago, IL

17d•Hybrid

About The Position

NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. Data Analysts are early career team members who train and work with Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. This role requires proficiency in SAS, R, and Python. 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. Analysts may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, 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 primary or secondary data sources, preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The role requires collaborative work in a team environment. Qualified applicants must be eligible to work in the U.S. and visa sponsorship is not offered.

Requirements

Bachelor’s degree in statistics, math, data science, computer science, or computational social science or related field required.
Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization.
At least 2 years’ experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming , and data mining.
Strong foundation in areas of statistics, mathematics, and data science.
Coding skills in SAS, R, and Python required.
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.
We regret that we are unable to offer visa sponsorship for this position.

Nice To Haves

Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred.
Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred.

Responsibilities

Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management 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.
Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations.
Perform various types of data analysis and modeling, often involving multiple data sets.
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
An Employee Assistance Program (EAP)