Kao Yang
About Kao Yang
Kao Yang is a Marketing Analyst with a strong academic background in Public Administration and Data Science, holding multiple degrees from institutions including Renmin University of China and the University of Missouri-Columbia. With experience at Veterans United Home Loans and Missouri Employers Mutual, Yang specializes in data analysis, visualization, and user interface design.
Work at Missouri Employers Mutual
Kao Yang has been employed as a Marketing Analyst at Missouri Employers Mutual since 2022. In this role, Yang utilizes advanced skills in data analysis and visualization to support marketing strategies. The position involves creating interactive user interfaces that enhance user engagement and improve data accessibility.
Previous Experience in Marketing Analysis
Prior to joining Missouri Employers Mutual, Kao Yang worked as a Marketing Analyst at Veterans United Home Loans from 2020 to 2022. This role was based in Columbia, Missouri, where Yang contributed to marketing initiatives. Additionally, Yang served as a Marketing Assistant at Microsoft in 2014 for three months in Beijing, China, gaining valuable experience in a global technology company.
Education and Expertise
Kao Yang holds multiple degrees in Public Administration and Data Science & Analytics. Yang earned a Master's degree in Public Administration from Renmin University of China from 2013 to 2016 and a Bachelor's degree in the same field from Beihang University from 2009 to 2013. Furthermore, Yang completed a Master's degree in Data Science & Analytics at the University of Missouri-Columbia from 2018 to 2020, enhancing technical skills in data analysis.
Research Experience
Kao Yang has research experience as a Research Assistant at the University of Missouri-Columbia from 2019 to 2020. This position lasted for seven months and allowed Yang to apply analytical skills in an academic setting, contributing to various research projects.
Skills in Data Visualization
Kao Yang possesses advanced skills in visualizing geospatial data, which enhances the interpretation of complex datasets. This expertise supports the development of effective marketing strategies and improves the overall understanding of data-driven insights.