CLINICAL ANALYTICS
General Summary/Responsibilities:
The Senior Data Analyst is responsible for providingsupport, facilitation, and analysis to Quality Innovation, and clinicalperformance and operational improvement teams. Responsible for project management of new or complex projects withinClinical Analytics. Performs complex data analysis and report writing. Usesmethodologies and tools for analyzing and presenting or facilitating clinicaldata to multidisciplinary teams across the system. Primary responsibility for the support ofQuality Innovate teams across the system chartered to reduce variation andimprove quality. The Senior Data Analystwill use and support with a high level of expertise database applications andanalytical tools, evaluate data quality, produce reports and maintain a workingknowledge of most if not all the following: Midas+, Statit PPR, Statit piMD, Care Discovery, Society of ThoracicSurgeons (STS), American College of Cardiology (ACC), National Database ofNursing Quality Indicators (NDNQI), and National Healthcare Safety Network(NHSN), and CMS and Joint Commission guidelines. The Senior Data Analyst will research newdata sources and analytical tools and develop awareness of and familiarity withissues and events effecting the organizations
Education
Minimum Level of Education Required: Bachelor's degree
Additional requirements:
§ Type of degree: Nursing, Industrial Engineering, Epidemiology, Biostatistics, Health Information Specialist or a related healthcare or data management field required
§ Area of study or major: Nursing, Industrial Engineering, Epidemiology, Biostatistics, Health Information Management or a related healthcare or data management
§ Position specific testing requirement: Excel
Licensure/Certification/Registration
§ Current State of Ohio licensure as Registered Nurse, if applicable
Experience
Minimum Level of Experience Required: 7 - 10 years of job related experience
Prior job title or occupational experience: If Masters prepared, will accept 5-7 years of experience
Preferred experience: Experience working with improvement teams or physicians, implementing quality assurance and quality improvement activities. Knowledge and understanding of biostatistics, data analysis, and literature evaluation attained through formal education or training from above said degree or related training. Extensive experience working with spreadsheet applications, databases, and coding diagnoses and procedures for health care services.
