Jiayi (Joy) Luo
About Jiayi (Joy) Luo
Jiayi (Joy) Luo is an Analytics Engineer at Health Catalyst in Boston, Massachusetts, where she has worked since 2021. She holds a Bachelor's degree in Health Promotion and Management from the University of Iowa and a Master's degree in Health Informatics from Northeastern University.
Work at Health Catalyst
Jiayi Luo has been employed at Health Catalyst as an Analytics Engineer since 2021. In this role, she has designed and maintained data pipeline architecture for clinical data models that support over 10,000 clients and manage more than 100,000 patient flows. Her responsibilities include collaborating with clients to understand their business needs across clinical, operational, and financial domains, and translating these needs into actionable reports and visualization dashboards.
Education and Expertise
Jiayi Luo holds a Bachelor's degree in Health and Human Physiology with a focus on Health Promotion and Management from the University of Iowa. She furthered her education by obtaining a Master's degree in Health Informatics from Northeastern University's Khoury College of Computer Sciences. Her expertise includes proficiency in SQL, Python, R, and data visualization tools such as Tableau, QlikView, and Power BI, which she utilizes for data analysis and visualization.
Background
Before her current position, Jiayi Luo worked at New York Life Insurance Company as a Health & Life Insurance Agent from 2018 to 2019. She also served as a Business Development Assistant at BrainCo Inc, where she contributed to a meditation app from 2021 to 2022. Additionally, she worked as a Data Administrator at Harvard University for 11 months in 2021 and completed an internship as an Activity Coordinator at Oaknoll in Iowa City in 2018.
Achievements in Healthcare Analytics
In her role at Health Catalyst, Jiayi Luo focuses on innovation in healthcare, aiming to improve the quality of care while reducing costs through technology. She supports UI testing, implementation, and active monitoring of controls and programs to ensure precision and efficacy in healthcare analytics. Her contributions have a significant impact on enhancing data-driven decision-making in the healthcare sector.