Laura Crouse
About Laura Crouse
Laura Crouse is an Integration Architect Principal with extensive experience in data architecture and analytics, currently working at Health Catalyst since 2023. She has held various roles in organizations such as UTMB and Hewlett-Packard, and has developed strategies for data integration and standardized reporting.
Current Role at Health Catalyst
Laura Crouse serves as an Integration Architect - Principal at Health Catalyst since 2023. In this role, she focuses on integrating various data systems to enhance analytics capabilities. Her responsibilities include developing data integration strategies that ensure data accuracy and consistency across platforms.
Previous Experience at Health Catalyst
Prior to her current position, Laura held multiple roles at Health Catalyst. She worked as an Analytics Engineer - Consultant from 2020 to 2021 and as an Analytics Engineer - Principal from 2021 to 2022. Additionally, she served as Technical Director from 2018 to 2020, where she contributed to various analytics projects and reporting initiatives.
Experience at UTMB and Universal Weather and Aviation
Laura worked at the University of Texas Medical Branch (UTMB) as the Enterprise Data Warehouse Manager from 2014 to 2018. She also held a position as Manager of Strategy and Data Architecture at Universal Weather and Aviation, Inc. for five months in 2018. These roles involved overseeing data management and strategy development.
Educational Background
Laura Crouse earned a Master's degree in Instructional Technology from the University of Houston, studying from 1997 to 1999. She also holds a Bachelor's degree in Education, Science, Spanish, and Language Arts from Michigan State University, where she studied from 1983 to 1988.
Technical Proficiencies and Skills
Laura possesses extensive technical skills, proficient in a variety of tools including CA ERwin, Visio, MSSQL, Oracle, Snowflake, Informatica, and Power BI. She has experience in designing customized reporting dashboards and has developed data integration strategies that include data mapping, cleansing, and validation techniques.