Heeyoun Shin
Healthcare Data Analyst | SQL • Python • Power BI | EMR/EHR, KPI & Operational Analytics
- Role
- Qi Evaluator (Analytics Data Science) at ReDiscover
- Location
- Overland Park, KS, US
- LinkedIn followers
- 500 followers
About Heeyoun Shin
Data analyst specializing in healthcare analytics, with experience in SQL-based data pipelines, Python analysis, and Power BI dashboard development. Currently working at ReDiscover, where I develop and automate performance reporting using EMR data to support clinical and operational decision-making. My work focuses on translating complex healthcare data into actionable insights, including KPI monitoring, no-show analysis, and program evaluation. I have hands-on experience working with large-scale healthcare datasets and collaborating with clinical and operational teams to improve performance outcomes and reporting efficiency. Interested in data analyst and analytics roles where data can drive operational and clinical improvements.Check my website: heeyounshin.com
Experience
Qi Evaluator (Analytics Data Science)
Dec 2025 — Present · Lees Summit, MO, US
Built and automated SQL-based data pipelines from EHR systems to support recurring KPI and performance reporting- Developed Power BI dashboards used by leadership to monitor program performance, access, and outcomesConducted Python-based analyses on no-show rates, follow-up timelines, and service utilization patterns- Standardized performance indicators across multiple programs, improving reporting consistency and data accuracy- Collaborated with clinical and operational teams to translate data insights into actionable process improvements-Supported quality improvement initiatives by providing data-driven recommendations for program efficiency and effectiveness
Education
Kookmin University
Bachelor of Arts, Sociology
2010 — 2014
The University of Kansas
Doctor of Philosophy - PhD, Sociology
2019
Yonsei University
Master of Arts, Sociology
2014 — 2016
University of Kansas Medical Center
Master of Science - MS, Applied Statistics, Analytics & Data Science
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