Jeffrey Lu
About Jeffrey Lu
Jeffrey Lu is an Advertising Data Analyst currently working at Hearst since 2020. He has previous experience at IBM and holds a Bachelor's Degree in Economics and Business Administration from Rutgers University-New Brunswick.
Current Role at Hearst
Jeffrey Lu has been employed as an Advertising Data Analyst at Hearst since 2020. In this role, he focuses on analyzing advertising data to optimize campaign performance and improve yield. His work involves collaborating with various teams to leverage data insights for strategic decision-making. Based in New York, he has contributed to the company's advertising initiatives for four years.
Previous Experience at IBM
Prior to his current position, Jeffrey Lu worked at IBM in several roles. He served as a Digital Yield Analyst from 2018 to 2020, where he analyzed digital advertising performance metrics. He briefly held the position of Digital Yield Manager for three months in 2020, and earlier, he worked as a Digital Yield Associate from 2017 to 2018. His cumulative experience at IBM spans over two years in New York.
Educational Background
Jeffrey Lu earned a Bachelor’s Degree in Economics and Business Administration from Rutgers University-New Brunswick. He attended the university from 2012 to 2016, completing his studies over a four-year period. His education provided a foundation in economic principles and business practices, which he applies in his professional roles.
Early Career and Internships
Before his roles in advertising analytics, Jeffrey Lu gained experience through various internships and positions. He worked as a Research Intern at Columbia University Medical Center in 2011, contributing to research in the Department of Biochemistry and Molecular Biophysics. He also held positions as a Digital Advertising Analyst at Rodale Inc. from 2016 to 2017 and as a Startup Associate at SuiteStory for four months in 2016.
Tutoring Experience
In 2015, Jeffrey Lu served as an Economics Tutor at Rutgers University. During this seven-month role, he assisted fellow students in understanding economic concepts and coursework. This experience enhanced his communication skills and deepened his knowledge of economics, which is relevant to his subsequent career in data analysis.