Sterling Weed
About Sterling Weed
Sterling Weed is a Senior Software Engineer at ValueHealth LLC, specializing in data integration and engineering. He has a diverse background in software development and business intelligence, with previous roles at organizations such as Intermountain Healthcare and Netsmart.
Current Role at ValueHealth
Sterling Weed serves as a Senior Software Engineer at ValueHealth LLC, a position he has held since 2020. In this role, he focuses on data integration and engineering, which are essential for enabling business intelligence tools. His work contributes to the development and enhancement of software solutions that support healthcare initiatives in the Springfield, Missouri area.
Previous Experience in Healthcare Analytics
Before joining ValueHealth, Sterling Weed worked at Intermountain Healthcare as a Business Intelligence Developer from 2013 to 2016. His responsibilities included supporting analytic engineering functions that facilitated business intelligence initiatives. This experience provided him with a strong foundation in healthcare data analytics and software development.
Educational Background
Sterling Weed holds a Master of Public Administration (MPA) from Western Kentucky University, where he studied from 2011 to 2012. He also earned a Master of Science (MS) in Information Systems from the University of Utah - David Eccles School of Business, completing his studies from 2014 to 2015. Additionally, he obtained a Bachelor of Arts in Economics and Math from Brigham Young University.
Work History Prior to ValueHealth
Sterling Weed's career includes significant roles prior to his current position. He worked as a Research Analyst at the Missouri Department of Health and Senior Services for one year in 2012-2013. He also served as a Graduate Assistant at Western Kentucky University from 2011 to 2012. Following his tenure at Intermountain Healthcare, he was employed as a Senior Software Engineer at Netsmart from 2016 to 2020.
Specialization in Data Integration
Sterling Weed specializes in data integration and engineering, with a focus on enabling business intelligence tools such as Qlik. His expertise in analytic engineering supports various business intelligence initiatives, allowing organizations to leverage data for informed decision-making.