Senior Quality Analytics & Data Science Analyst (on-site)

1.    Independently perform advanced quantitative and statistical analyses to support healthcare quality, patient safety, infection prevention, operational improvement, and regulatory initiatives. 
2.    Collaborate with Quality Department specialists, clinical, and operational teams to define metrics, identify performance gaps, and develop data-driven improvement strategies. 
3.    Analyze large and complex datasets to identify trends, variation, risks, and opportunities for improving patient outcomes, reducing harm, improving efficiency, and lowering costs. 
4.    Design, develop, automate, and maintain dashboards, scorecards, and reports using Power BI, SQL, Excel, and other analytics platforms. 
5.    Develop and validate data extraction queries, reporting logic, and data models to ensure accuracy, consistency, and reliability of analytics deliverables. 
6.    Utilize advanced statistical methods, including regression analysis, SPC charting, forecasting, and trend analysis, to support evidence-based decision-making. 
7.    Support quality and regulatory reporting requirements related to CMS, NHSN, Joint Commission, Leapfrog, Vizient, HEDIS, and other benchmarking programs. 
8.    Translate complex analytical findings into actionable insights and concise summaries for both technical and non-technical stakeholders. 
9.    Participate in and support root cause analyses, performance improvement initiatives, and deep-dive investigations related to patient safety events, hospital-acquired conditions, mortality, readmissions, and operational performance. 
10.    Integrate and validate data from multiple internal and external sources, including EMR systems, quality databases, patient safety systems, and financial or operational systems. 
11.    Identify opportunities for process improvement, reporting automation, and data standardization to improve efficiency and reduce manual work. 
12.    Collaborate with interdisciplinary teams and external partners to acquire, validate, and interpret healthcare data. 
13.    Assist in developing standardized definitions, methodologies, and documentation for quality metrics and reporting practices. 
14.    Provide guidance and informal mentorship to less senior analysts and operational stakeholders regarding reporting tools, dashboards, and interpretation of data. 
15.    Present findings, visualizations, and recommendations to departmental leaders, committees, and project teams. 
16.    Maintain current knowledge of healthcare analytics methodologies, quality improvement science, regulatory requirements, healthcare technology, and emerging industry trends. 
17.    Perform other related duties as assigned.
 

• Knowledge: Ability to demonstrate in-depth knowledge of concepts, practices and policies with the ability to use them in complex varied situations; able to independently frame ambiguous problems and recommend analytic approaches.
• Programming/Systems: Programming experience preferably SQL and Python in a Healthcare system setting. Knowledge of Epic System (other Electronic Health Records) and Statistical Software (SAS, R) is preferred. Familiarity with version control (Git) and basic MLOps practices is a plus.
• Project Management: Ability to coordinate the diverse components of projects through quality project planning, execution, stakeholder management, and change control to achieve the required balance of time, cost and quality.
• Communication: Ability to communicate understanding in ways that capture interest, inform, and gain support; explain technical concepts to peers and leaders; ability to read and interpret professional journals, financial reports, and legal documents; write reports, business correspondence, and procedural manuals.
• Teamwork: Builds and maintains positive working relationships within work groups and across departments through open communication and collaboration; works with others to accomplish goals and objectives; maintains a culture of collaboration and professionalism.

Education:

• Bachelor's degree in a quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline.