Spencer Bonar

Spencer Bonar

Senior Analytics Engineer @ Handshake

About Spencer Bonar

Spencer Bonar is a Senior Analytics Engineer with a diverse background in product management and data analysis, currently employed at Handshake since 2022. He has held various roles at companies such as Nuna Inc., GoodRx, and Obsidian Analysis, contributing to projects in the healthcare and analytics sectors.

Current Role at Handshake

Spencer Bonar serves as a Senior Analytics Engineer at Handshake, a position he has held since 2022. In this role, he focuses on data analysis and engineering, contributing to the company's analytics capabilities. His expertise in analytics allows him to support data-driven decision-making within the organization.

Previous Experience at GoodRx

Before joining Handshake, Spencer Bonar worked at GoodRx in various roles. He served as Lead Product Manager for three months in 2022 and as Senior Product Manager for eleven months in 2021. His responsibilities included overseeing product development and managing cross-functional teams to enhance the company's offerings.

Experience at Nuna Inc.

Spencer Bonar has extensive experience at Nuna Inc., where he held multiple positions. He worked as a Product Manager from 2018 to 2020, a Senior Data Analyst from 2016 to 2017, and a Staff Business Intelligence Engineer from 2017 to 2018. His roles involved managing product strategies and analyzing data to drive business insights.

Background in Analytics and Research

Spencer Bonar began his career as a Senior Analyst at Obsidian Analysis, Inc from 2014 to 2016. He also worked as a Research Analyst at Salamandra, LLC from 2012 to 2013. These positions provided him with foundational skills in analytics and research methodologies, which he has applied throughout his career.

Education and Academic Background

Spencer Bonar earned a Bachelor of Science degree in Biology from the University of Maryland, where he studied from 2008 to 2012. His academic background in biology has contributed to his analytical skills and understanding of data in various contexts.

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