Data Analyst - Statistics and Data Science Research Support

Requirements:

• We require a bachelors degree in statistics, data science, computer science, or an equivalent field.
• We seek 0–2 years of relevant experience; internships count.
• We require statistical programming experience across multiple packages and databases, including Python.
• We expect familiarity with large datasets and strong programming skills for statistical and quantitative modeling.
• We look for a solid grounding in analytical methods, data engineering, machine learning, and scientific inquiry.
• We require experience with data management, data reduction, and data visualization.
• We value working knowledge of data sources such as administrative records, surveys, social media, and sensor data.
• We require strong problem-solving and quantitative analysis skills, including curiosity about data deviations and issues.
• We expect candidates to organize and prioritize assignments to meet project needs.
• We value strong communication, writing, and data storytelling skills, along with enthusiasm for interdisciplinary collaboration.
• Preferred experience includes SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, or other large-scale data systems.
• We also value expertise with large or small language models, machine learning, cloud platforms such as AWS, Azure, or GCP, and command-line workflows such as bash.
• JavaScript programming experience is a plus.
• Applicants must be eligible to work in the United States now and in the future. We are unable to provide visa sponsorship.
• We ask candidates to submit a resume and cover letter and be ready to provide professional references upon request.

Responsibilities:

• We collaborate with statisticians, data scientists, technology specialists, and subject matter experts to carry out and improve data management and analysis.
• We develop programs and scripts for data cleaning, integration, transformation, harmonization, quality checks, and validation.
• We support and enhance applications and databases used for research and create data documentation and dictionaries.
• We build dashboards and visualizations and prepare charts, graphs, and tables for reports and presentations.
• We conduct data analyses and modeling, often using multiple datasets.
• We contribute to documentation, reports, and presentations by writing sections, preparing basic analytical summaries, and producing tables and graphics.
• We use AI tools to improve efficiency.
• We take on other duties as assigned.

Technologies:

• AI
• AWS
• Azure
• Bash
• Cloud
• Databricks
• GCP
• Hadoop
• Hive
• Support
• JavaScript
• Machine Learning
• Python
• SAS
• Tableau

More

We are hiring a Data Analyst I or II for NORC at the University of Chicagos Statistics and Data Science department, an early-career role supporting varied research projects. Our department provides scientific and statistical expertise across research, technology, and operational teams, contributing to work ranging from survey design and data quality to AI, health data linkage, and visualization. NORC is an objective, nonpartisan research institution that has conducted studies and developed research methods since 1941, partnering with government, corporate, and nonprofit clients worldwide. This is a hybrid position based in our Chicago Loop or downtown Washington, D.C. office, with at least six office days per month. The hiring range is $62,000–$73,000. Regular employees may access comprehensive benefits, including subsidized health insurance effective on the first day, dental and vision coverage, retirement programs, life and disability insurance, paid time off and holidays, parental and bereavement leave, tuition assistance, and an employee assistance program. We offer a business-casual environment and emphasize continuous learning, collegiality, and impactful research.

last updated 43 week of 2026