Taarna Hopkins
About Taarna Hopkins
Taarna Hopkins is a Business Intelligence Manager at Fannie Mae with over 15 years of experience in data analytics and business intelligence.
Current Position at Fannie Mae
Taarna Hopkins is the Business Intelligence Manager at Fannie Mae. With over 15 years of experience in data analytics and business intelligence, she brings a deep understanding of financial data analysis and the banking sector to her role. Taarna's position involves leveraging her extensive expertise to drive data-driven decision-making and operational improvements.
Previous Role at U.S. Bank
From 2018 to 2021, Taarna Hopkins served as the Assistant Vice President of Data and Analytics at U.S. Bank. During her tenure, she led a team that developed a new data analytics platform, which significantly enhanced the decision-making processes within the organization. Her role at U.S. Bank highlighted her capability to spearhead complex data initiatives and improve operational efficiency.
Career at Jabian Consulting
Between 2015 and 2018, Taarna Hopkins worked as a Senior Manager at Jabian Consulting in the Dallas/Fort Worth Area. In this role, she implemented a comprehensive business intelligence strategy that resulted in a 20% increase in client satisfaction. Her work at Jabian Consulting showcased her ability to deliver impactful business intelligence solutions.
Educational Background
Taarna Hopkins earned a Bachelor of Business Administration (BBA) in Marketing from James Madison University, where she studied from 2003 to 2007. Her formal education laid a strong foundation for her career in data analytics, business intelligence, and the financial sector.
Experience in Financial Data Analysis
Specializing in financial data analysis, Taarna Hopkins has an extensive background that includes various roles across major financial institutions. Her experiences span corporate and consulting environments, providing her with a well-rounded perspective on business intelligence. This specialization has enabled her to consistently improve operational efficiency through data-driven insights.