Electrified vehicles including Battery Electric Vehicles (BEVs) and Plug-In Hybrid Vehicles (PHEVs) made by Ford Motor Company are fitted with a telematics modem to provide customers with the means to communicate with their vehicles and, at the same time, receive insight on their vehicle usage. These services are provided through the “MyFord Mobile” website and phone applications, simultaneously collecting information from the vehicle for different event triggers. In this work, we study this data by using Big Data Methodologies including a Hadoop Database for storing data and HiveQL and Pig Latin scripts to perform analytics. We present electrified vehicle customer behaviors including geographical distribution, trip distances, daily distances and annual usage factor. We also compare temperature distribution of trips with the EPA-MOVES database. We discuss the process of extracting information from this data that can be used to further refine future design. Customer data privacy concerns are also addressed.