Yang Li

Intermediate Analytical Reporting Analyst @ Transamerica

About Yang Li

Yang Li is an Intermediate Analytical Reporting Analyst at Transamerica, with a strong academic background in Mathematics and Statistics from Miami Dade College and Georgia Institute of Technology. With experience as an Actuarial Intern and Quality Assurance Analyst, Li demonstrates effective time management and aims for a successful career in the Society of Actuary.

Work at Transamerica

Yang Li has held multiple positions at Transamerica since 2016. Initially, Yang worked as an Actuarial Intern for two months in Baltimore, Maryland. Following this role, Yang served as a Quality Assurance Analyst from 2017 to 2020, where responsibilities included ensuring the quality and accuracy of data and processes. Since 2020, Yang has been employed as an Intermediate Analytical Reporting Analyst, contributing to analytical reporting and data analysis within the organization.

Education and Expertise

Yang Li has a solid educational background in mathematics and statistics. Yang earned an Associate’s Degree in Mathematics from Miami Dade College from 2011 to 2013. Subsequently, Yang attended Georgia Institute of Technology, where a Bachelor’s Degree in Applied Mathematics was obtained from 2013 to 2015. Yang further advanced education by completing a Master’s Degree in Statistics at Georgia Institute of Technology from 2015 to 2016. This academic foundation supports Yang's analytical skills and expertise in data analysis.

Background

Yang Li's professional journey began with a focus on mathematics and statistics, leading to a career in analytical roles. The experience at Transamerica has provided Yang with a comprehensive understanding of actuarial processes and quality assurance. Yang's work history reflects a commitment to developing skills in data analysis and reporting, aligning with aspirations for a career in the Society of Actuary.

Achievements

Throughout the career at Transamerica, Yang Li has demonstrated strong time management skills by consistently completing tasks ahead of schedule. This ability to manage time effectively has contributed to successful project outcomes and enhanced operational efficiency in analytical reporting roles.

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