Jeff Li
About Jeff Li
Jeff Li is the Lead Data Analyst for Product at Loom, leveraging his background in economics and music to enhance data analysis. He has previously held various roles in product management and analytics at companies such as Jobcase, Inc. and Loom.
Work at Loom
Jeff Li currently serves as the Lead Data Analyst for Product at Loom, a position he has held since 2022. In this role, he utilizes his analytical skills to derive insights that enhance user experiences. Prior to this, he worked as a Senior Product Analyst at Loom from 2021 to 2022, where he contributed to data-driven decision-making processes. His experience at Loom reflects his commitment to leveraging data for product improvement.
Previous Experience at Jobcase, Inc.
Jeff Li has extensive experience at Jobcase, Inc., where he held multiple roles over a span of five years. He began as a Quantitative Data Analyst from 2014 to 2017, followed by his role as Analytics Manager from 2017 to 2019. He then transitioned to a Product Manager position from 2019 to 2021. His diverse roles at Jobcase, Inc. allowed him to develop a comprehensive understanding of data analytics and product management.
Educational Background
Jeff Li studied at Princeton University, where he earned an AB in Economics from 2009 to 2013. He also attended the New England Conservatory of Music, focusing on Piano Performance in the Preparatory Division from 2005 to 2009. His educational background in both economics and music provides him with a unique perspective on data analysis and user experience design.
Research Experience at BAYIMBA
In 2012, Jeff Li worked as a Research Coordinator at BAYIMBA for a duration of two months in Kampala, Uganda. This role contributed to his understanding of research methodologies and data collection processes in an international context.
Passion for User Experience
Jeff Li has a strong passion for crafting meaningful user experiences through data-driven insights. His combined expertise in economics and music informs his creative approach to data analysis, enabling him to identify trends and opportunities that enhance user engagement and satisfaction.