Anh Le
About Anh Le
Anh Le is a Business Data Analyst at Fannie Mae with extensive experience in data integration, analysis, and reporting.
Current Role at Fannie Mae
Anh Le holds the position of Business Data Analyst at Fannie Mae. Since June 2022, Anh has been working within the Single Family Products & Solutions division. His responsibilities in this role likely include data integration, analysis, and reporting to support various business initiatives.
Previous Experience as Business Intelligence Analyst II at Cyprexx Services
Before joining Fannie Mae, Anh Le worked at Cyprexx Services as a Business Intelligence Analyst II. His tenure at Cyprexx Services lasted for five months between 2021 and 2022, during which he was based in Austin, Texas. This role involved utilizing his skills in data analysis and business intelligence to support company operations.
Financial Analyst II Role at Mr. Cooper
Anh Le worked as a Financial Analyst II at Mr. Cooper from 2020 to 2021 for a year, in Lewisville, Texas. During his time there, he was responsible for financial data analysis and reporting to assist in making informed financial decisions for the company.
Educational Background in Business Analytics, Accounting, and Finance
Anh Le has a solid educational foundation in various business disciplines. He earned a Master's degree in Business Analytics from The University of Texas at Dallas from 2018 to 2020. In 2013, he obtained an Intensive Accounting Certificate from the University of Washington. Additionally, he holds a Bachelor of Business Administration in Finance from James Madison University, completed between 2009 and 2012. He also holds an Associate's Degree in Business Administration and Management from Seattle Central College, earned from 2007 to 2009.
Specialization in Data Analysis Tools
Anh Le specializes in data integration, data analysis, and data reporting. He utilizes various tools and technologies including SQL, AWS, SSRS, Microsoft Excel, and Power BI/Tableau. These skills allow Anh to effectively manage and interpret large data sets to support business decisions.