Xin Li
About Xin Li
Xin Li is a Manager in Business Analysis and Data Science at Tapestry, with a background in data analysis and business intelligence. He has previously worked at Mindshare Japan, OANDA, and Citi Cards Japan, and holds a Master's Degree in Computer Science from the University of Tsukuba.
Current Role at Tapestry
Xin Li currently holds the position of Manager, Business Analyst, Data Science at Tapestry. Since joining the company in 2021, he has been responsible for leveraging data science to drive business insights and strategies. His role involves analyzing complex datasets to inform decision-making processes and enhance operational efficiency. Xin Li's expertise in data analysis contributes to Tapestry's objectives in the competitive retail landscape.
Previous Experience at Citi Cards Japan, Inc.
Prior to his current role, Xin Li worked at Citi Cards Japan, Inc. from 2015 to 2021 as a Business & Data Analyst / BI. During his six years at the company, he focused on business intelligence and data analysis, providing insights that supported strategic initiatives. His experience in this role helped him develop a strong foundation in data-driven decision-making within the financial services sector.
Experience at Mindshare Japan
Xin Li served as a Data Analyst at Mindshare Japan from 2012 to 2015. His three years in this role involved analyzing marketing data to optimize advertising strategies. Working in Tokyo, he contributed to projects that aimed to enhance client campaigns through data insights. This experience further solidified his skills in data analysis within the marketing industry.
Background at OANDA
Xin Li began his career as a Data Analyst at OANDA, where he worked for one year from 2011 to 2012. This role provided him with initial exposure to data analysis in the financial technology sector. His work involved analyzing market data, which laid the groundwork for his future roles in data science and business analysis.
Education and Expertise
Xin Li earned a Master's Degree in Computer Science from the University of Tsukuba, where he studied from 2008 to 2010. His educational background equipped him with a strong technical foundation in data analysis and computational methods. This expertise has been instrumental in his career as he applies data science techniques to solve business challenges.