Chris Bothell

Chris Bothell

Analytics Engineer @ Health Catalyst

About Chris Bothell

Chris Bothell is an Analytics Engineer at Health Catalyst, where he has worked since 2021. He specializes in improving client outcomes through data analysis and validation, and he holds a Bachelor's degree in accounting from Brigham Young University's Marriott School of Business.

Work at Health Catalyst

Chris Bothell has been employed at Health Catalyst as an Analytics Engineer since 2021. In this role, he supports client outcomes improvement initiatives by utilizing software and technologies for various analyses across clinical, operational, and financial domains. He is responsible for developing data models and visualizations that align with Health Catalyst's design standards and principles. Additionally, he conducts data validation tests to ensure the quality of measurement in analytics projects.

Previous Experience at Missionary Training Center

Before joining Health Catalyst, Chris Bothell worked at the Missionary Training Center as a Spanish Tutor and Teacher from 2019 to 2021. In this position, he contributed to the educational development of students by providing instruction in the Spanish language. His experience in teaching provided him with skills that are applicable in his current analytics role.

Education at Brigham Young University

Chris Bothell studied at the Brigham Young University Marriott School of Business, focusing on the School of Accountancy. He pursued a Bachelor’s degree in accounting from 2018 to 2023. This educational background has equipped him with the necessary knowledge and skills to excel in analytics and data management within his professional roles.

Analytics Engineering Skills

In his role as an Analytics Engineer, Chris Bothell leverages various software and technologies to perform analyses that enhance client outcomes. He specializes in developing data models and visualizations, ensuring they meet established design standards. His work includes conducting data validation tests to maintain the integrity and quality of analytics projects.

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