Clinical Analytics Specialist

Clinical Analytics Specialist

Hybrid

Mosaic Health is a national care delivery platform focused on expanding access to comprehensive primary care for consumers with coverage across Commercial, Individual Exchange, Medicare, and Medicaid health plans.

The Business Units which comprise Mosaic Health are multi-payer and serve nearly one million consumers across 19 states, providing them with access to high quality primary care, integrated care teams, personalized navigation, expanded digital access, and specialized services for higher-need populations. Through Mosaic Health, health plans and employers have an even stronger care provider partner that delivers affordability and superior experiences for their members and employees, including value-based primary care capacity integrated with digital patient engagement and navigation. Each of the companies within Mosaic Health provide unique offerings that together promise to improve individuals' health and wellbeing, while helping care providers deliver higher quality care. For more information, please visit www.mosaichealth.com or follow Mosaic Health on LinkedIn.

Formed in 2008 and headquartered in Fort Myers, Florida, with offices in Florida, North Carolina, and Texas, Millennium Healthcare is the largest independent physician group in the state of Florida and one of the largest in the United States. At Millennium Physician Group, our employees are the foundation of our success. Our promise is to provide you with the tools to do your job successfully, as well as providing a team atmosphere that empowers you to seek better ways to deliver care to our patients and their families. We also promise to care for you as an individual and help you grow in your role.

The Clinical Analytics Specialist will support all business units within Mosaic Health and is responsible for analyzing clinical data, generating insights, and supporting the development of reports that enhance patient outcomes, operational efficiency, and compliance with healthcare regulations. The Specialist will collaborate with cross-functional teams, including clinicians, data engineers, and administrators, to improve clinical performance through data analytics.

Responsibilities

• Analyze and interpret clinical and operational data to support strategic initiatives.
• Develop dashboards, reports, and visualizations using analytics tools (e.g., Tableau, Power BI, SQL, Python, R).
• Identify trends and patterns in healthcare data to improve patient outcomes and operational
• Support quality improvement initiatives by evaluating clinical performance metrics and benchmarking against industry standards.
• Ensure data integrity, accuracy, and compliance with regulatory requirements (e.g., HIPAA, HEDIS, CMS).
• Collaborate with IT, clinical teams, and leadership to develop data-driven solutions for healthcare
• Assist in predictive modeling and risk stratification efforts to enhance patient care management.
• Document methodologies, findings, and recommendations in detailed reports and presentations.
• Stay current with industry trends, emerging technologies, and best practices in clinical analytics.
• Demonstrate excellent guest service to internal team members and patients.
• Perform other related duties as assigned.

Qualifications

• Bachelor's degree in Healthcare Analytics, Data Science, Public Health, Statistics, or a related field
• 2-3+ years of experience in clinical analytics, healthcare informatics, or data analysis in a healthcare setting
• Experience with electronic health records (EHR), claims data, and healthcare quality reporting preferred
• Proficiency in SQL for data querying and manipulation
• Experience with data visualization tools such as Tableau, Power BI, or Qlik
• Strong knowledge of statistical analysis and tools such as Python, R, or SAS
• Understanding of healthcare data standards, including ICD-10, CPT, LOINC, and HL7
• Familiarity with machine learning and predictive analytics in a healthcare context is a plus
• Strong problem-solving and critical-thinking abilities
• Excellent communication skills, with the ability to present complex data insights to non-technical audiences
• Ability to work both independently and collaboratively in a team environment
• High attention to de