650 Engineered Medical System jobs in Memphis,TN

Technical Skills: Proficiency with data analysis platforms, ability to work with large complex datasets, experience with programming languages, and SQL query development
Experience with healthcare information systems
Demonstrated ability to use programming languages (SAS, R, Python) to manipulate datasets, conduct what-if scenarios, and implement predictive models based on quality program methodologies
Proficiency with one data analysis platform Experience with SAS, R, or Python; Advanced SQL skills; Experience with Epic systems
Healthcare Knowledge: Understanding of healthcare quality measures, terminology (including DRGs, ICD-10 codes, HCCs), clinical documentation requirements, and public reporting methodologies
Basic understanding Comprehensive knowledge
Data Storytelling: Ability to communicate complex data insights to diverse audiences in a clear, compelling, and actionable manner
Experience developing executive-level presentations and strategic recommendations based on data analysis
Demonstrated ability Advanced skills with proven track record
Critical Thinking: Ability to identify patterns and insights in complex data, approach problems from multiple perspectives, and develop innovative analytical solutions
Demonstrated ability Advanced skills with proven examples
Personal Characteristics: Curiosity, adaptability to new information and methodologies, tenacity, and resilience when working through complex analytical challenges
Demonstrated traits Proven track record of applying these traits to drive organizational change
Leadership Skills: Ability to mentor others, lead cross-functional initiatives, and potentially build and supervise a team of analysts as the program grows
Basic leadership skills Proven experience building and developing teams
Experience: Healthcare Analytics Experience: Professional experience analyzing healthcare data to identify quality improvement opportunities and revenue optimization strategies
Experience working with quality metrics, public reporting programs (CMS Stars, Leapfrog, Vizient, US News), and value-based payment programs (HVBP, HRRP, HACRP)
7-years required 8-years desired
Data Analysis Experience: Experience with descriptive statistical methods and data exploration techniques
Expertise in analyzing complex data sets, identifying patterns and trends, and extracting actionable insights
Demonstrated ability to integrate multiple data sources and develop comprehensive analytics solutions that combine clinical and financial data elements
Collaborative Experience: Experience working collaboratively with multidisciplinary teams including quality, CDI, coding, finance, and IT
Experience presenting to and working with healthcare leadership teams on strategic initiatives
4 years required 5 years desired
Data Visualization Experience: Experience creating dashboards and visualization tools that clearly communicate quality performance metrics to various stakeholders
3 years required 4 years desired
Data Modeling Experience: Experience developing and implementing predictive analytics models, statistical analyses, and forecasting methodologies to anticipate performance outcomes with sufficient lead time for intervention
Demonstrated ability to translate complex healthcare quality methodologies into practical analytical frameworks that can guide organizational decision-making and improvement strategies
Leadership Experience: Experience mentoring other analysts and leading improvement initiatives
Experience building and supervising analytics teams preferred
2 years required 3 years desired
Education
Degree in data science, analytics, statistics, public health, business analytics, engineering or related field demonstrating strong analytical foundation and quantitative skills
Master's degree PhD/Doctorate preferred
Certifications in healthcare analytics, quality improvement, or Epic systems demonstrating specialized knowledge in healthcare data analysis
None Epic's Clarity & Cogito Certifications
Training
Healthcare Training: Training in healthcare delivery systems, quality measures, and methodologies
Understanding of healthcare terminology, clinical documentation requirements, and quality-based reimbursement structures
Basic Understanding Advanced Training
Statistical Methods: Training in statistical analysis, predictive analytics, modeling, and performance evaluation methodologies
Intermediate Level Advanced Level
Process Improvement: Training in data-driven improvement processes and methodologies to evaluate the effectiveness of quality improvement initiatives
Basic Understanding Formal Certification (Lean, Six Sigma, etc.)