Data Analyst I or II - Methodology and Quantitative Social Sciences - Chicago Loop Hybrid

Summary

NORC at the University of Chicago is seeking a qualified Data Analyst I or II to join the Methodology and Quantitative Social Sciences department and support a diverse range of research projects. The role involves collaborating with data scientists and research methodologists to clean, standardize, and validate data sets, as well as assist in data collection and analysis.

Responsibilities

• Collaborate with methodologists 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

Skills

• Bachelor's degree in social science with a computational social science emphasis or data science
• 0-2 years' relevant experience (internships included.)
• Programming in statistical packages and databases: R, Python, and SQL required
• Familiarity working with large data sets, conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation
• Strong foundation in areas of social science research, analytic methods, data engineering, machine learning, and scientific methods of inquiry
• Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization
• Working knowledge of different types of data that can be sourced whether from administrative data, surveys, social media, or sensor data
• Strong skills in problem solving and quantitative analysis are required, including a willingness to understand deviations and ask questions about data issues
• Able 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
• Qualified applicants must be eligible to work in the U.S now and in the future. We regret that we are unable to offer visa sponsorship for this position
• Experience working with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, and/or other large data systems
• Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash)
• Experience with JavaScript programming

Qualifications

Must Haves

• Bachelor's degree in social science with a computational social science emphasis or data science
• 0-2 years' relevant experience (internships included.)
• Programming in statistical packages and databases: R, Python, and SQL required
• Familiarity working with large data sets, conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation
• Strong foundation in areas of social science research, analytic methods, data engineering, machine learning, and scientific methods of inquiry
• Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization
• Working knowledge of different types of data that can be sourced whether from administrative data, surveys, social media, or sensor data
• Strong skills in problem solving and quantitative analysis are required, including a willingness to understand deviations and ask questions about data issues
• Able 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
• Qualified applicants must be eligible to work in the U.S now and in the future. We regret that we are unable to offer visa sponsorship for this position

Nice to Haves

• Experience working with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, and/or other large data systems
• Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash)
• Experience with JavaScript programming

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
• 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).