Nicole De Guzman
About Nicole De Guzman
Nicole De Guzman is a Senior Business Systems Analyst at Thomson Reuters in the Philippines, where she has worked since 2021. With extensive experience in various analytical roles, she has previously held positions at Access Worldwide Communications, Refinitiv, and Thomson Reuters.
Work at Thomson Reuters
Nicole De Guzman has been employed at Thomson Reuters since 2021 as a Senior Business Systems Analyst. In this role, she is responsible for maintaining a searchable knowledge base to improve user support efficiency. She also provides level 1 support for applications such as Glance, Time Trade, and DocuSign, focusing on enhancing user experience and system efficiency. Prior to her current position, she worked at Thomson Reuters in various roles, including Sales Process Analyst and Financial and Risk Analyst.
Previous Experience
Before joining Thomson Reuters, Nicole De Guzman accumulated significant experience in various roles. She worked at Refinitiv, an LSEG business, as a Sales Process Analyst for 11 years. Earlier in her career, she held positions at Access Worldwide Communications, Inc. as a Customer Support Representative and later as a Quality Development Analyst. Her experience spans over a decade in sales processes and customer support, contributing to her expertise in business systems analysis.
Education and Expertise
Nicole De Guzman earned a Bachelor of Science degree in Hotel, specializing in Restaurant and Institutional Management, from De La Salle – College of St. Benilde. Her educational background has provided her with a strong foundation in management principles, which she applies in her current role as a Senior Business Systems Analyst.
Compliance and System Management
In her current role, Nicole conducts monthly and quarterly SOX Controls to ensure compliance and integrity of financial reporting processes. She utilizes JIRA for managing enhancement requests, which allows for systematic tracking and prioritization of system improvements. Her recommendations for system enhancements are based on user feedback and her personal experience, contributing to continuous improvement in system functionality.