Leonardo Perdomo
About Leonardo Perdomo
Leonardo Perdomo is a Sr Business Analyst at TELUS in Toronto, Canada, with extensive experience in data analysis and reporting, and a strong background in SAS, SQL, and Tableau.
Title
Leonardo Perdomo currently holds the position of Sr Business Analyst at TELUS. In this role, he applies his expertise in data analysis, database management, and business process optimization in the Toronto, Canada area.
Company
Leonardo Perdomo is employed by TELUS, a leading Canadian telecommunications company. At TELUS, his responsibilities include developing comprehensive databases, enhancing end-to-end reporting processes, and creating Tableau visualizations for executive decision-making.
Previous Employment
Leonardo Perdomo has a diverse professional background. He previously worked at Scotiabank as a Campaign Design Consultant in Welland, Canada, for two months in 2013. He spent six years at Canadian Tire Bank in Oakville, Ontario, as an Analyst/UNICA Administrator from 2007 to 2013. Prior to that, he worked at Canadian Tire Financial Services as an Application Processing Representative for five years from 2002 to 2007 in Welland, Canada. He also has international experience from his time at Carvajal S as a Computer System Analyst in Cali, Colombia, where he worked from 1992 to 1999.
Education and Expertise
Leonardo Perdomo's educational background includes a Bachelor of Engineering in Computer Systems Engineering from San Buenaventura University (1988-1993) and a Certificate in Accounting for Managerial Decisions from Niagara College (2006-2010). He holds a certification in SAS Base Programming for SAS9 and has completed advanced courses in SAS Programming II and III, SAS Macros, Unica Training, and Tableau Developer.
Technical Skills
Leonardo Perdomo specializes in a range of technical skills essential for business analysis. His expertise spans SAS, SQL, Oracle, Tableau Developer, Unica IBM, Unix, and MS Office applications like Excel, Access, Visio, and PowerPoint. At TELUS, he has modified SAS scripts for integration with new Data Warehouses and automated processes using SAS, UNIX, Oracle, and Tableau to improve executive information access and decision-making.