Julian Ortiz
About Julian Ortiz
Julian Ortiz is a Payment Analyst at Clear Channel Outdoor, with extensive experience in finance and analysis. He has held various roles in organizations such as California State University-Sacramento, The Ritz-Carlton, and Kforce Inc., demonstrating a strong ability to identify errors and improve processes.
Work at Kforce
Julian Ortiz has been employed at Kforce Inc. as a Payment Analyst for Clear Channel Outdoor since 2017. In this role, he operates in the San Antonio, Texas Area and is responsible for managing payment processes. His contributions include identifying billing errors and implementing corrective measures, which have resulted in significant financial recoveries.
Previous Experience
Prior to his current position, Julian Ortiz held various roles in the finance and hospitality sectors. He worked as a Business Consultant at California State University-Sacramento for four months in 2004. He also served as an Assistant Financial Analyst at Legacy Systems Inc. in 2002 and as a Bell Captain-Supervisor at The Ritz-Carlton Hotel Company from 2005 to 2017.
Education and Expertise
Julian Ortiz earned a Bachelor of Science degree with a double concentration in Finance and Risk Management & Insurance from California State University-Sacramento. His studies spanned from 1999 to 2004, providing him with a solid foundation in financial principles and risk assessment.
Achievements in Payment Analysis
In his role as a Payment Analyst, Julian Ortiz successfully reduced the Service Level Agreement (SLA) refund time from ten weeks to the standard four to six weeks within one month of starting. He also identified a billing error that resulted in the recovery of $45,000 within his first week in the position, demonstrating his effectiveness in financial oversight.
Contract Review and Error Correction
Julian Ortiz has conducted comprehensive contract reviews and analyses, leading to significant financial recoveries. He regularly runs and analyzes weekly future billing reports to ensure accuracy and correct errors. His attention to detail played a key role in correcting a large-scale Auto-bot error, showcasing his analytical skills and commitment to operational excellence.