Tyler Kirby

Tyler Kirby

Decision Scientist, Product @ Ibotta

About Tyler Kirby

Tyler Kirby is a Decision Scientist at Ibotta, Inc., specializing in product analytics. He has a background in data analysis and business analytics, with previous roles at the University of Denver and Anadarko Petroleum Corporation.

Work at Ibotta

Tyler Kirby currently serves as a Decision Scientist in the Product department at Ibotta, Inc. since 2021. In this role, he provides on-demand analytical support to various teams, addressing specific customer requirements. He has introduced automation in event tracking processes, which has streamlined the acceptance process between engineering and analytics teams. Additionally, he developed code to improve the accuracy and value of metrics used for evaluating customer engagement timelines during A/B testing periods.

Education and Expertise

Tyler Kirby holds a Master's degree in Business Analytics from the University of Denver - Daniels College of Business, where he studied from 2019 to 2021. He also earned a Bachelor of Science (B.S.) in Finance from the University of Wyoming, completing his studies from 2010 to 2013. His educational background equips him with a strong foundation in both finance and analytics, enhancing his capabilities in data-driven decision-making.

Background

Before joining Ibotta, Tyler Kirby worked as a Graduate Assistant at the University of Denver - Daniels College of Business from 2020 to 2021. He also served as a Data Analyst at PIN Business Network from 2017 to 2021. Earlier in his career, he was a Division Order Analyst at Anadarko Petroleum Corporation from 2012 to 2017. His diverse experience across various roles has contributed to his expertise in data analysis and decision science.

Achievements

During his tenure at Ibotta, Tyler orchestrated the design and execution of A/B tests for new mobile features, presenting key success metrics and insights to cross-functional decision-makers. His work has focused on enhancing the analytical capabilities of teams and improving processes related to data tracking and customer engagement evaluation.

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