Ty Whisenhunt
About Ty Whisenhunt
Ty Whisenhunt is a Director of Business Intelligence at Transamerica, where he has worked since 2012. He has over a decade of experience in data management and analysis, having previously held roles as a Data Warehouse Developer and Manager at the same company.
Current Role as Director of Business Intelligence
Ty Whisenhunt serves as the Director of Business Intelligence at Transamerica. He has held this position since 2012, contributing to the company's data-driven decision-making processes. His role involves overseeing business intelligence initiatives and managing data analytics to support strategic objectives. Whisenhunt's extensive experience in data management and analytics positions him as a key player in enhancing Transamerica's operational efficiency.
Previous Experience at Transamerica
Whisenhunt has a long history with Transamerica, having worked there in various capacities since 2001. He began as a Data Warehouse Developer, a role he held for eight years until 2009. Following this, he served as Data Warehouse Manager for three years until 2012. His progressive roles at Transamerica reflect his expertise in data warehousing and management, contributing to the company's data infrastructure.
Early Career at Golden Sports Management LLC
Before joining Transamerica, Ty Whisenhunt worked at Golden Sports Management LLC as a Senior Accountant from 1999 to 2001. In this position, he was responsible for financial reporting and accounting functions, gaining valuable experience in financial management and analysis. This early role laid the foundation for his later work in data management and business intelligence.
Educational Background in Accounting
Whisenhunt studied at New Mexico State University, where he earned a Bachelor of Business Administration with a focus on Accounting. His education spanned from 1990 to 1994, equipping him with essential skills in financial principles and practices. This academic background has been instrumental in his career, particularly in roles that require a strong understanding of data and financial analysis.