Troy Burmeister
About Troy Burmeister
Troy Burmeister is a Data Analyst (Product) at CircleCI, with a background in statistics and extensive experience in data analysis roles across various companies. He has worked in positions ranging from financial aid intern to senior decision scientist, contributing to organizations such as Ibotta, Gongos, and Michigan State University.
Work at CircleCI
Troy Burmeister has been employed at CircleCI as a Data Analyst (Product) since 2020. In this role, he focuses on analyzing product data to inform decision-making and improve product performance. His work contributes to the overall efficiency and effectiveness of CircleCI's offerings in the continuous integration and delivery space. He is based in Denver, Colorado, where he has been part of the team for four years.
Education and Expertise
Troy Burmeister earned a Bachelor of Science (BS) degree in Statistics from Michigan State University, completing his studies from 2009 to 2013. His educational background provides a strong foundation in statistical analysis, which he applies in his professional roles. The knowledge gained during his studies supports his work in data analysis and decision science across various industries.
Background
Before joining CircleCI, Troy Burmeister held several positions that contributed to his expertise in data analysis. He worked as a Financial Aid and Compliance Intern at Douglas J Aveda Institutes & Salons from 2012 to 2013. He also served as a Teaching Assistant at Michigan State University from 2011 to 2013. His experience includes roles at Gongos, Inc. as a Data Analyst and Senior Statistical Analyst, and at Ibotta, Inc. as a Senior Decision Scientist.
Professional Experience
Troy Burmeister has a diverse professional background in data analysis and decision science. He worked at Gongos, Inc. from 2013 to 2017, first as a Data Analyst and later as a Senior Statistical Analyst. He then transitioned to Ibotta, Inc., where he served as a Senior Decision Scientist from 2017 to 2020, focusing on both client and product-related analytics. His roles have equipped him with valuable skills in statistical analysis and data-driven decision-making.