Data Analyst I or II - Methodology and Quantitative Social Sciences - Chicago Lo
NORC at the University of Chicago, Chicago, IL, United States
Job Summary
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 Methodology and Quantitative Social Sciences department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Data Scientists and Research Methodologists to perform tasks including importing, cleaning, standardizing, transforming, and validating data sets. Data Analysts 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, support modeling efforts, 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 such as administrative records, commercial data, and social media data, preparing data files for delivery, and maintaining databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. 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.
Location
This is a hybrid role based in our Chicago Loop office, with a minimum of six days per month in the office.
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.
Required 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.
Preferred Skills
Experience working with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, and/or other large data systems.
Additional expertise in large and small language models, machine learning, working in cloud environments such as AWS, Azure, or GCP, and with command-line workflows such as bash.
Experience with JavaScript programming.
Salary And Benefits
The pay range for this position is $62,000-$73,000.
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).
EEO Statement
NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.
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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 Methodology and Quantitative Social Sciences department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Data Scientists and Research Methodologists to perform tasks including importing, cleaning, standardizing, transforming, and validating data sets. Data Analysts 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, support modeling efforts, 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 such as administrative records, commercial data, and social media data, preparing data files for delivery, and maintaining databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. 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.
Location
This is a hybrid role based in our Chicago Loop office, with a minimum of six days per month in the office.
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.
Required 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.
Preferred Skills
Experience working with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, and/or other large data systems.
Additional expertise in large and small language models, machine learning, working in cloud environments such as AWS, Azure, or GCP, and with command-line workflows such as bash.
Experience with JavaScript programming.
Salary And Benefits
The pay range for this position is $62,000-$73,000.
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).
EEO Statement
NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.
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