Mark W Viola
About Mark W Viola
Mark W. Viola is a Senior Manager of Business Intelligence at Alegeus, where he has worked since 2005. He has a background in psychology and clinical mental health counseling, along with expertise in data modeling and SQL optimization.
Work at Alegeus
Mark W Viola has been employed at Alegeus since 2005, currently holding the position of Senior Manager, Business Intelligence. In this role, he focuses on developing and maintaining data warehouses that support dynamic dashboard reports. His responsibilities include designing, testing, and deploying client-facing reports, utilizing SQL stored procedures, functions, cursors, and views. His expertise also extends to optimizing and tuning SQL queries to enhance efficiency and minimize database impact.
Previous Experience at Chase Home Finance
Prior to his tenure at Alegeus, Mark W Viola worked at Chase Home Finance as a Home Equity Operations MIS Information Analyst II from 2003 to 2005. During this two-year period in the Phoenix, Arizona area, he contributed to the analysis and management of home equity operations, gaining valuable experience in the financial services sector.
Education and Expertise
Mark W Viola earned a Bachelor of Science in Psychology from Bridgewater State University, where he studied from 1989 to 1994. He later pursued a Master of Arts in Clinical Mental Health Counseling at Lesley University, completing his studies from 1995 to 1998. His educational background supports his expertise in business intelligence, particularly in developing comprehensive forecasting and data modeling using data from various sources, including Salesforce and Mitel.
Technical Skills and Specializations
Mark W Viola specializes in constructing and maintaining data warehouses that facilitate the creation of dynamic dashboard reports. He possesses extensive experience in designing, testing, and deploying client-facing reports, leveraging SQL stored procedures, functions, cursors, and views. Additionally, he is skilled in optimizing and tuning SQL queries to improve performance and reduce the impact on databases.