Tanner Beam
About Tanner Beam
Tanner Beam is a Senior Analytics Engineer at Great Expectations, where he has worked since 2022. He has over 10 years of experience in data analysis and engineering across various industries, with a strong focus on simplifying complex information for non-technical audiences.
Work at Great Expectations
Tanner Beam has been employed as a Senior Analytics Engineer at Great Expectations since 2022. In this role, he focuses on data engineering and analytics, leveraging his extensive experience in managing and analyzing business datasets. His work emphasizes the importance of simplicity in conveying complex subject matter to non-technical audiences.
Previous Experience in Analytics
Before joining Great Expectations, Tanner Beam held several positions in analytics. He served as the Director of Analytics at HELPSY from 2018 to 2019. He worked as an Analytics Engineer at Autodesk from 2019 to 2021 and as a Data Analyst at Shutterstock from 2016 to 2018. Additionally, he was a Data Analyst specializing in eCommerce and Web Analytics at Archetype from 2014 to 2016. His career began at the Bureau of Labor Statistics, where he worked as a Data Analyst from 2010 to 2014.
Education and Expertise
Tanner Beam earned a Master of Arts in Econometrics and Quantitative Economics and a Bachelor of Arts in Economics, Spanish, and Latin American Studies from the University of Arkansas. His expertise includes applied statistics and engineering best practices, with a strong emphasis on problem-solving. He is skilled in using various data engineering tools such as Databricks, Spark, Hive, and LookML.
Background in Data Analysis
Tanner Beam has over 10 years of experience in data analysis across multiple domains, including engineering, product, marketing, and sales analytics. His background includes working as a Research Assistant in the Department of Economics at the University of Arkansas from 2009 to 2010. This diverse experience has equipped him with the ability to manage and analyze complex datasets effectively.