Carol Li Email and Phone Number
Carol Li work email
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Carol Li personal email
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Carol Li phone numbers
Carol Li is a Sr. Director of Enterprise Analytics at 1-800-FLOWERS.COM, INC. at 1-800-FLOWERS.COM, INC.. They possess expertise in analytics, predictive modeling, segmentation, sas, data mining and 9 more skills. Colleagues describe them as "It is a pleasure working with Carol. She and her team handle all aspects of analysis of efficacy of campaigns, promotions and other business-critical marketing activities. Carol is a hands-on analytics leader who constantly seeks to improve her skills."
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Senior Director Of Enterprise Analytics1-800-Flowers.Com, Inc. Mar 2022 - PresentJericho, New York, Us -
Director Of Enterprise Bi1-800-Flowers.Com, Inc. Apr 2018 - Apr 2022Jericho, New York, Us -
Director Of Ecommerce, Crm & AnalyticsBowlero Corporation Jul 2015 - Apr 2018New York, New York, Us -
Director Of Customer Lifecycle AnalyticsGilt Groupe May 2012 - Jul 2015Boston, Massachusetts, Us -
Sr. Statistical ManagerDirect Brands, Inc. Jul 2010 - May 2012New York, Ny, Us -
Statistical ConsultantExperian Jun 2007 - Jul 2010Costa Mesa, Ca, Us -
ManagerDigitas 2006 - 2007Boston, Massachusetts, Us -
Statistical AnalystJpmorgan Chase 2001 - 2006New York, Ny, Us
Carol Li Skills
Carol Li Education Details
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Hunter CollegeApplied Mathematics -
Middle School
Frequently Asked Questions about Carol Li
What company does Carol Li work for?
Carol Li works for 1-800-Flowers.com, Inc.
What is Carol Li's role at the current company?
Carol Li's current role is Sr. Director of Enterprise Analytics at 1-800-FLOWERS.COM, INC..
What is Carol Li's email address?
Carol Li's email address is ca****@****ilt.com
What is Carol Li's direct phone number?
Carol Li's direct phone number is +191729*****
What schools did Carol Li attend?
Carol Li attended Hunter College, Middle School.
What skills is Carol Li known for?
Carol Li has skills like Analytics, Predictive Modeling, Segmentation, Sas, Data Mining, Web Analytics, Marketing Analytics, Statistical Modeling, Customer Insight, Logistic Regression, Data Profiling, Quantitative Analytics.
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