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Julie Banks

Pronouns: She/Her

Julie is a consultant with expertise in survey research, analytics, and data quality management.

Julie serves on the leadership team for the Statistics & Data Science department where she works to support and develop NORC’s statistical, analytical, and data science staff and capabilities. In partnership with the Methodology & Quantitative Social Sciences department, Statistics & Data Science provides the scientific foundation for NORC’s business with respect to the design of its research projects, analysis of data, and the interpretation and dissemination of findings. Julie has more than 25 years of experience in survey research, analytics, and data quality management.

In addition to her administrative leadership responsibilities, Julie serves as director for multiple projects, leads internal initiatives, and manages proposals for the Statistics and Data Science department. As project director for the National Center for Science and Engineering Statistics (NCSES) Statistical Support project, Julie provides broad oversight of all tasks and leads administration of a broad program of activities supporting NCSES’s Statistics, Methods, and Innovation area. The project encompasses such tasks as developing an approach to data quality assessment, creating documentation to promote consistency in the implementation of statistical activities, developing a quality assurance process for information products, conducting statistical, technical, and disclosure reviews of information products, and providing statistical consultation. Julie is Quality Assurance Lead for the National Immunization Survey (NIS) Child COVID module’s statistical team, with responsibility for ensuring that appropriate quality control procedures are implemented and that new procedures are developed as needed to guarantee that deliverables meet the highest quality standards.  

Prior to joining NORC, Julie had an accomplished career in analytics consulting and market research, where over time she led teams and managed projects focused on improving data quality, designing new measurement methodologies, creating models and algorithms, and developing technical specifications for client-facing data tools. At Nielsen IQ (formerly Nielsen), Julie led the steering committee and cross-departmental unit responsible for quality improvement initiatives and resolution of client inquiries and challenges related to data products.  In her role as analytics manager at Accenture, Julie conducted analysis of existing data quality procedures and infrastructure and developed a data quality framework in a project for the Social Security Administration.



Northern Illinois University, Statistics


University of Illinois at Chicago, Business Administration

Project Contributions