Karen Mc Gee
About Karen Mc Gee
Karen Mc Gee is a Performance Programs Data Analyst at Asurion with a background in data analytics, visualization, and various roles in administration and education.
Current Role at Asurion
Karen Mc Gee currently holds the role of Performance Programs Data Analyst at Asurion. She started in this position in 2020. Her responsibilities likely involve analyzing data related to performance programs and providing insights to enhance operational efficiencies. Her focus on data visualization and continuous learning serves as a foundation for her success in this role.
Previous Roles at Sarah Cannon
Karen Mc Gee worked as a Cash Application Coordinator at Sarah Cannon from 2019 to 2020. She also briefly held the position of Payment Reconciliation Coordinator in 2019. Both roles were based in the Greater Nashville Area, TN, and involved managing financial transactions and ensuring accurate payment reconciliations.
Professional Experience at One Trusted Advisor
From 2013 to 2019, Karen Mc Gee served as a Systems Administrator at One Trusted Advisor in the Greater Nashville Area, TN. Her six-year tenure involved managing and maintaining IT systems, ensuring seamless operations, and possibly supporting various business systems and processes.
Early Career and Volunteer Work
Karen Mc Gee has an international and diverse professional background. She worked as a Teacher at the Ministry of Education in Namibia for six months in 2010 and took on the role of International Volunteer Coordinator & Office Administrator at Know Think Act from 2010 to 2013 in the Greater Nashville Area, TN. These roles likely provided her with extensive experience in project coordination and administration.
Educational Background and Certifications
Karen Mc Gee achieved a Bachelor's degree in Musical Arts & Child Development from Vanderbilt University, studying there from 2006 to 2010. In 2019, she also completed a Data Analytics & Visualization Certificate from the same institution. During her studies, she worked on team projects analyzing FBI and CDC data, developing visualizations using Python, Tableau, Excel, SQL, and machine learning.