Quality and Patient Safety Data Analyst

Das ist der Job

Utilize statistical methods and modeling techniques to support evidence-based decision-making.

Darum lohnt es sich

Collaborate with Quality Improvement teams to define metrics and develop data-driven solutions that support clinical and operational QI initiatives.

Responsibilities Will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.

Analyze large datasets to identify trends, patterns, and opportunities for improving patient outcomes, reducing costs, and enhancing service delivery. Assists with strategic intelligence development through report writing, dashboard development, and front-end scripting, using a variety of platforms including PowerBI, SQL, and Excel.

Design, develop, and maintain dashboards and reports to monitor key performance indicators (KPIs) related to quality improvement goals. Translate complex data into actionable insights for both technical and non-technical stakeholders through visualizations, presentations, and written reports.

Integrate different data sources, creating one unified, manipulable data source. Work with internal departments and external partners to acquire, validate, and integrate data for analysis.

Maintains up-to-date knowledge by reading technical journals, and attending seminars, internal user groups, and workshops to learn about new developments and changing technology trends. Stay current with healthcare regulations, quality measurement standards (e.g., HEDIS, NCQA, CMS), and industry best practices.

Collaborates with other departments in a mentoring and guidance role on the data tools available. Requirements Bachelor’s degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, Business Analytics, Epidemiology, Public Health or a related discipline.

An advanced degree in Business, Science, Finance, Mathematics, Economics, Epidemiology, Public Health or related field is a plus and may substitute for some experience.

Minimum of 2 years of experience in data analysis, analytics, or functional business experience within the healthcare industry Demonstrated experience supporting healthcare quality improvement efforts is highly desirable. #J-18808-Ljbffr