Daniel Pickett
About Daniel Pickett
Daniel Pickett is a Team Lead at Clearwater Analytics in Boise, Idaho, with an MBA from Loyola University Maryland. He has extensive experience in financial forecasting and analysis, having previously held various roles at T. Rowe Price over a span of 12 years.
Work at Clearwater Analytics
Daniel Pickett has been employed at Clearwater Analytics since 2021, serving as Team Lead. In this role, he is responsible for overseeing team operations and ensuring effective financial forecasting, budgeting, and analysis. His work supports operational decision-making processes within the organization. Clearwater Analytics is based in Boise, Idaho, where Pickett has contributed to the company's financial strategies for three years.
Previous Experience at T. Rowe Price
Prior to joining Clearwater Analytics, Daniel Pickett worked at T. Rowe Price for a total of six years in various roles. He began as a Financial Analyst from 2004 to 2013, then advanced to Senior Business Analyst from 2013 to 2015, and finally served as Lead Manager from 2015 to 2021. His tenure at T. Rowe Price allowed him to develop a comprehensive skill set in financial analysis and management.
Education and Expertise
Daniel Pickett earned his Master of Business Administration (MBA) from Loyola University Maryland, completing his studies from 2007 to 2009. He also holds a Bachelor of Arts (B.A.) in Business Administration and Economics from McDaniel College, where he studied from 2000 to 2004. His educational background provides a strong foundation for his expertise in financial forecasting and analysis.
Skills and Competencies
Daniel Pickett possesses superior skills in translating complex financial concepts into understandable terms. He is adept at tracking and maintaining financial records while managing multiple tasks under tight deadlines. His ability to work collaboratively with cross-functional teams has been instrumental in achieving business goals. Additionally, he is experienced in creating and redesigning processes to enhance productivity through automation and process improvement.