VP, Analytics & Data Management
Jay consults with many leading corporations by assisting them in using advanced methods to make better marketing and business decisions, both domestically and globally. Jay has expertise in pricing, segmentation, customer and employee satisfaction, conjoint analysis, and discrete choice analysis, in addition to solid multivariate statistical skills. His experience includes creating key performance measures for customer loyalty, brand equity, and brand evangelism. Jay is well-known for thinking outside-the-box, and designing custom analysis to answer the client’s business issues.
Jay has his Ph.D. in Marketing & Research from the University of Texas at Arlington, as well as an M.B.A. in Finance and Commercial Banking, and a B.B.A. in Marketing.
Jay has published and presented papers on conjoint, choice, and pricing research in conference proceedings.