Jonathan Bandy
About Jonathan Bandy
Jonathan Bandy is a Senior Financial Analyst currently working at Kinship in the San Francisco Bay Area. He has a strong background in finance, having previously held positions at PlushCare and Accolade, Inc., and possesses advanced skills in data analytics and variance analysis.
Work at Kinship
Jonathan Bandy currently serves as a Senior Financial Analyst at Kinship, a position he has held since 2022. He operates out of the San Francisco Bay Area. In this role, he utilizes his advanced skills in data analytics to interpret complex financial data, contributing to the financial planning and analysis functions of the organization.
Previous Experience at PlushCare
Before joining Kinship, Jonathan worked at PlushCare as a Finance Associate from 2016 to 2021. During his five years in this role, he gained valuable experience in financial operations while based in the San Francisco Bay Area. His work involved financial reporting and analysis, which helped him develop a strong foundation in finance.
Education and Expertise
Jonathan Bandy is currently pursuing a degree in Finance at the University of Massachusetts Amherst, having started in 2021. He previously studied Political Economy at the University of California, Berkeley, from 2013 to 2017. His educational background is complemented by his proficiency in financial tools such as Adaptive and Workday, which are essential for financial planning and human capital management.
Community Involvement
In addition to his professional experience, Jonathan volunteered with Habitat for Humanity in 2018 for six months in Oakland, CA. This role allowed him to engage with the community and contribute to social initiatives, reflecting his commitment to community service.
Skills in Financial Analysis
Jonathan possesses advanced skills in data analytics and variance analysis. These competencies enable him to identify discrepancies in financial reports and enhance the interpretation of financial data. His analytical abilities are critical in supporting effective financial decision-making.