Jennifer Thresher
About Jennifer Thresher
Jennifer Thresher is a Business Intelligence Analyst at AutoFi, where she has worked since 2020. She has a background in operations management and holds an MBA from San Francisco State University.
Current Role as Business Intelligence Analyst
Jennifer Thresher currently serves as a Business Intelligence Analyst at AutoFi, a position she has held since 2020. In this role, she leads the weekly Business Intelligence sprint planning and prioritization for reporting and ETL requests. Her responsibilities include ensuring efficient workflow management and enhancing end-user adoption by educating teams on data structures and complexities. She has developed 25 dashboards to improve data accessibility for internal teams.
Previous Experience at AutoFi
Prior to her current role, Jennifer worked at AutoFi as an Operations Analyst from 2018 to 2020. During her tenure, she focused on optimizing operational processes and contributed to various projects aimed at improving efficiency within the organization. Her experience at AutoFi has provided her with a strong foundation in business intelligence and operations.
Experience at Couchsurfing International
Jennifer held the position of Operations Manager at Couchsurfing International from 2015 to 2017. Based in the San Francisco Bay Area, she managed operational activities and contributed to the overall efficiency of the organization. This role allowed her to develop skills in team management and operational strategy.
Educational Background
Jennifer Thresher earned her Master of Business Administration (MBA) from San Francisco State University, College of Business, completing her studies from 2017 to 2019. She also holds a Bachelor of Arts in Interdisciplinary Studies from the University of California, Berkeley, where she studied from 2011 to 2013. Additionally, she participated in a Study Abroad program at Semester at Sea in 2013, focusing on Business, Leadership, and Culture.
Skills and Contributions
Throughout her career, Jennifer has demonstrated a strong ability to enhance operational efficiency. She proactively solicited reporting requirements from department leads, resulting in time-saving reports that saved teams 2-3 hours per week. Additionally, she supported the BI/reporting software selection process by analyzing features based on company requirements, including security and pricing.