Data Analyst I or II - Statistics and Data Science research support

NORC at the University of Chicago • Chicago, IL

10d • Hybrid

About The Position

NORC at the University of Chicago is hiring a Data Analyst I or II to support research projects in its Statistics and Data Science department. Data Analysts are early-career team members who work with statisticians and data scientists on data processing, quality assurance, analysis, and dissemination. The role includes importing, cleaning, standardizing, transforming, and validating data; researching and documenting data procedures; and supporting investigations of data problems. Analysts may identify and interpret trends, support modeling, prepare data presentations and reports, assist with data collection and harmonization from primary or secondary sources, prepare data files for delivery, and maintain databases, data systems, and metadata or dictionaries. The position requires collaboration in a team environment.

This hybrid role is based in NORC’s Chicago Loop or downtown Washington, DC office, with at least six office days per month. The Statistics and Data Science department supports research across NORC through expertise in study design, statistical analysis, data science, and related methods.

The position is classified as regular. Applicants must be eligible to work in the United States now and in the future; visa sponsorship is not available. Applicants should include a résumé and cover letter and be prepared to provide professional references upon request.

Requirements

• Bachelor’s degree in statistics, data science, computer science, or an equivalent field.
• 0–2 years of relevant experience; internships count.
• Statistical programming in multiple packages and databases, including Python, which is required.
• Familiarity with large data sets and statistical and quantitative modeling, with strong programming skills.
• Strong foundation in analytic methods, data engineering, machine learning, and scientific methods of inquiry.
• Experience with data management, data reduction techniques, and data visualization.
• Working knowledge of data types and sources such as administrative data, surveys, social media, or sensor data.
• Strong problem-solving and quantitative analysis skills, including willingness to investigate deviations and ask questions about data issues.
• Ability to organize and prioritize work assignments to meet project needs.
• Strong communication, writing, and data storytelling skills.
• Enthusiasm for teamwork and collaboration across disciplinary boundaries.
• Must be eligible to work in the United States now and in the future; visa sponsorship is unavailable.

Nice To Haves

• Experience with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, or other large data systems.
• Expertise in large and small language models and machine learning.
• Experience working in cloud environments such as AWS, Azure, or GCP.
• Experience with command-line workflows such as bash.
• Experience with JavaScript programming.

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, harmonization, quality checks, and validation.
• Support and enhance applications and databases built for research needs, and produce data documentation and dictionaries.
• Create data dashboards and visualizations, including charts, graphs, and tables for reports and presentations.
• Perform data analysis and modeling, often involving multiple data sets.
• Contribute to documentation, reports, and presentations by writing sections, creating basic analytic summaries, and developing tables and graphics.
• Apply AI tools to help improve efficiency.
• Perform other duties as assigned.

Benefits

• Subsidized health insurance effective on the first day of employment.
• Dental insurance.
• Vision insurance.
• Defined contribution retirement program and 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 and emphasis on continuous learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level