Elenita Espera
About Elenita Espera
Elenita Espera is a Claims Analyst at QBE Insurance, where she has worked since 2014, handling complex claims and identifying potential fraud. She holds a Bachelor of Education in Mathematics from Cebu Normal University and previously worked at Convergys as a Senior Customer Service Specialist.
Work at QBE Insurance Group
Elenita Espera has been employed at QBE Insurance as a Claims Analyst since 2014. Over her ten-year tenure, she has managed highly complex claims from the initial notice to resolution, including potential recovery processes. Her role involves identifying suspicious or potentially fraudulent claims, coordinating investigations, and taking legal action when necessary. Espera's contributions have played a significant role in helping QBE Insurance achieve high customer service ratings as determined by external auditors.
Previous Experience at Convergys
Before joining QBE Insurance, Elenita Espera worked at Convergys as a Senior Customer Service Specialist from 2008 to 2014. During her six years in this role, she developed skills in customer service and demonstrated the ability to coach team members. She created action plans to maximize performance and provided effective feedback to enhance service delivery.
Education and Expertise
Elenita Espera studied at Cebu Normal University, where she earned a Bachelor of Secondary Education with a major in Mathematics. She completed her degree from 2002 to 2006, achieving a Bachelor of Education (BEd). Her educational background provides her with a solid foundation in analytical thinking and problem-solving, which are essential skills in her current role as a Claims Analyst.
Professional Skills
Elenita Espera possesses a range of professional skills relevant to her role in claims analysis. She has demonstrated expertise in managing complex claims, identifying fraudulent activities, and coordinating investigations. Additionally, her experience in customer service has equipped her with strong communication skills and the ability to develop effective feedback mechanisms for performance improvement.