Victoria Hyman
About Victoria Hyman
Victoria Hyman is a Senior Business Systems Analyst at Talkdesk with over seven years of consultancy experience and a background in education and communications.
Title
Victoria Hyman holds the position of Senior Business Systems Analyst at Talkdesk. She plays a crucial role in analyzing and improving business systems to ensure efficiency and operational effectiveness.
Professional Experience at Talkdesk
Victoria Hyman began her tenure at Talkdesk as a Sales Operations Analyst, EMEA, from 2019 to 2020 in London, United Kingdom. She then served as Business Systems Analyst for six months in 2020-2021 before being promoted to her current role as Senior Business Systems Analyst. Her responsibilities likely include optimizing business processes, streamlining operations, and leveraging her analytical skills to drive strategic initiatives.
Professional Experience at EF Education First
From 2013 to 2019, Victoria Hyman held multiple roles at EF Education First. She started in the Global Employee Rotation Program, working in Boston, San Francisco, and London. She subsequently served as Financial Operations Analyst and Academic Operations Analyst, CRM Specialist. These roles honed her expertise in CRM systems, financial operations, and academic administration over several years in London.
Educational Background
Victoria Hyman completed her Master of Arts in Comparative Education at the UCL Institute of Education. She also holds a Bachelor of Arts in Communications Studies from Northeastern University. This educational foundation has equipped her with a deep understanding of both educational systems and effective communication strategies.
Certifications and Skills
Victoria Hyman is a certified Salesforce administrator. She has over seven years of consultancy experience advising diverse stakeholders. She excels in designing and implementing processes and systems that boost departmental effectiveness and accountability. She has a proven record of setting strategic agendas and benchmarking progress using data points.