Retail
Data and analytics professionals in Retail
Retail data professionals make choices about which metrics drive inventory, pricing, and store performance. You can explore what data they actually used, when they ignored data, and what happened when the numbers pointed one way but reality went another.
Professionals to explore
01—10Dan Foster
LinkedInExperience: Director of Analytics, Stores & Real Estate · Tailored Brands, Inc.
Experience directing store, marketplace, and commercial analytics functions across retail organizations.
Jeff Gonda
LinkedInExperience: Director, Data Science and Advanced Analytics, Marketing · Ross Stores, Inc.
Experience leading data science and marketing analytics functions at a retailer.
Karamvir Bindra
LinkedInExperience: Senior Manager Applied Data Science · Tesco Bengaluru
Experience leading applied data science and CRM analytics functions at a retailer.
Kelly Woods
LinkedInExperience: Sr. Director of Merchandising Analytics · Dollar General
Experience in market planning, promotion optimization, and retail strategy.
Kevin Lewis
LinkedInExperience: VP of Retail Intelligence · Walmart
Experience leading data science and retail intelligence functions at retail companies.
Lori Gao
LinkedInExperience: Director Data Analytics, Store Operation · Target
Experience directing analytics for supply chain and store operations at a retail company.
Mike Kerfoot
LinkedInExperience: Sr. Director - Analytics and AI · Target
Experience leading analytics and workforce management functions at a retail company.
Natalie Kakalec
LinkedInExperience: Senior Manager, Retail Analytics · SEPHORA
Experience leading retail and omnichannel data and analytics functions at a retailer.
Nicole Saunders
LinkedInExperience: Director, Data Analytics (Walmart ) · Walmart
Experience in business analysis, insights, and digital analytics across retail companies.
Stanley Wong
LinkedInExperience: Senior Director of Business Intelligence and Analytics · SEPHORA
Experience in competitive, merchandising, and promotion analytics for retail.
Choose the right perspective
Look for candidates who owned specific decisions—not just analyzed data. Ask them to describe a choice where data supported one path but they chose differently, or where the data they relied on later proved incomplete or misleading.
Questions to take into the conversation
- 01Tell me about a time you recommended something based on data, but the business outcome didn't match your prediction. What was missing?
- 02Which data sources did you stop trusting, and why?
- 03When did you decide that more data or better analysis wouldn't actually change the decision?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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