Andrew Palmer
About Andrew Palmer
Andrew Palmer is an Analytics Engineering Manager at Lambda, where he has worked since 2023. He has extensive experience in analytics and product management, having held various roles at companies such as redIQ, Route, and Adobe.
Work at Lambda
Andrew Palmer has been serving as the Analytics Engineering Manager at Lambda since 2023. In this role, he supports major functions such as fraud analysis and investor and debt due diligence through analytics engineering. He has implemented a medallion data-warehousing model to enhance data management and accessibility. Additionally, he developed an automated data catalog to streamline data discovery and utilization. Andrew manages a team using a kanban board style to efficiently handle internal requests and projects.
Previous Experience
Prior to his current position at Lambda, Andrew Palmer held various roles in analytics and operations. He worked as a Warehouse and Production Team Lead at The Ready Project from 2010 to 2011. He served as Business Intelligence Lead and Technical Product Manager at redIQ from 2018 to 2020. Andrew also worked at Route in multiple capacities, including Senior Product Analyst and Staff Analyst in Business Operations from 2020 to 2022. His experience includes roles at Adobe, 5 Star Resorts Plus, and PetSmart, where he focused on data analysis and business intelligence.
Education and Expertise
Andrew Palmer holds a Bachelor of Science degree in Global Supply Chain Management from Brigham Young University Marriott School of Business, which he completed from 2006 to 2012. He furthered his education at the University of Utah - David Eccles School of Business, earning both a Master of Science in Business Analytics and a Master of Business Administration from 2017 to 2019. His educational background supports his expertise in analytics, data management, and supply chain operations.
Technical Skills and Contributions
Andrew Palmer has hands-on experience in technical product management and supply chain analytics. At Lambda, he has contributed to process improvement and scalability through his work in analytics engineering. His implementation of a medallion data-warehousing model and the development of an automated data catalog are key contributions that enhance data management practices within the organization. Andrew's ability to manage teams effectively using a kanban board style further demonstrates his commitment to operational efficiency.