Brian Markley
About Brian Markley
Brian Markley is a Product Manager specializing in data platforms at BuildZoom, where he has worked since 2021. He has a background in financial technology and data analysis, with previous roles at Thomson Reuters and StarMine.
Current Role at BuildZoom
Brian Markley serves as a Product Manager for the Data Platform at BuildZoom, a position he has held since 2021. In this role, he focuses on developing data solutions that leverage the largest collection of building permit and contractor data in North America. His work supports various industries, including insurance, real estate, and market analysis. Markley's expertise in data management and analytics plays a crucial role in enhancing the company's data offerings.
Previous Experience at Thomson Reuters
Prior to his current role, Brian Markley worked at Thomson Reuters from 2011 to 2015 as a Senior Product Manager for Investor Analytics. During his tenure, he contributed to product development and management, focusing on analytics solutions for investors. He also held the position of Product Analyst/Manager at Thomson Reuters from 2009 to 2011, where he was involved in analyzing and managing product performance.
Experience at StarMine
Brian Markley began his career at StarMine, where he worked in various roles from 2005 to 2009. He served as a Data Support Specialist from 2005 to 2007 and then as a Senior Data Analyst from 2007 to 2009. In these positions, he was responsible for data analysis and support, contributing to the development of analytical tools and services for financial markets.
Educational Background
Brian Markley studied Public Administration at Western Michigan University, where he earned a Bachelor of Arts degree in 2000. Additionally, he attended City College of San Francisco from 2003 to 2016, furthering his education over a span of 13 years. His academic background provides a foundation for his work in product management and data analysis.
Skills and Specializations
Brian Markley specializes in crafting persuasive analyses that drive change. His technical skills include proficiency in Python, SQL, and data visualization techniques. He took a career break from Financial Technology to enhance his skills in machine learning and solutions engineering, further strengthening his capabilities in data-driven decision-making.