Hybrid Data Analyst Research & Visualization

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

Apply now Job no: 503833 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Statistics and Data Science

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 Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination.

As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They 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 (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of 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. 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 (300

E. Randolph), with a minimum of six days per month in the office.

• 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.

• Bachelor’s degree in statistics, data science, computer science, or an equivalent field.
• 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 with strong programming.
• Strong foundation in areas of analytic methods, data engineering, machine learning, and scientific methods of inquiry.
• Experience with data management, 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.

• Experience working with SAS, Tableau, Hadoop, Hive, Databricks, Map Reduce, 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).

The pay range for this position is $62,000-$73,000.

This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. Benefits include, but are…