John Crouse

John Crouse

Analytics Lead @ Environics Analytics

About John Crouse

John Crouse serves as the Analytics Lead at Environics Analytics, where he has worked since 2016. He has extensive experience in analytics and real estate research, having held leadership roles at Wendy's and The Nielsen Company prior to his current position.

Work at Environics Analytics

John Crouse has served as the Analytics Lead at Environics Analytics since 2016. In this role, he focuses on leveraging data analytics to provide insights that drive business decisions. His responsibilities include overseeing analytics projects and ensuring the effective use of geographic information systems and statistical modeling techniques. Crouse's expertise contributes to the company's ability to deliver data-driven solutions to clients across various industries.

Previous Experience in Real Estate Analytics

Prior to his current role, John Crouse worked as the Director of Real Estate Research and Analytics at Wendy's from 2012 to 2016. Based in Dublin, OH, he was responsible for analyzing real estate data to support the company's expansion strategies. Before that, he held the position of Director of Site Analytics at The Nielsen Company from 2003 to 2011 in San Diego, CA, where he focused on site selection and market analysis. His career began as a Real Estate Research Analyst at Family Dollar from 2002 to 2003.

Education and Expertise

John Crouse holds a Master of Arts in Geography with a concentration in Location Analysis from the University of North Carolina at Charlotte, which he completed from 2001 to 2003. He also earned a Bachelor of Science in Geography from Ball State University between 1998 and 2001. His educational background is complemented by programming skills in PL/SQL, Python, MapBasic, and Visual Basic, as well as expertise in Geographic Information Systems using tools such as Alteryx, ESRI, and MapInfo.

Specialization in Data Analysis

Crouse specializes in data analysis, particularly in consumer and real estate statistical modeling. He utilizes software tools like JMP, SAS, and SPSS to conduct in-depth analyses that inform strategic decisions. His strong background in project management and process improvement enhances his ability to lead analytics initiatives effectively, ensuring that projects meet organizational goals and client needs.

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