Director of Healthcare Analytics (remote US only)

Posted 9 months agoViewed
130000.0 - 150000.0 USD per year
United StatesHealthcare
Company:
Location:United States
Seniority level:Director, 4+ years
Experience:4+ years
Skills:
AWSLeadershipProject ManagementPythonSQLData AnalysisMachine LearningSAS EGTableauData scienceCommunication SkillsAnalytical SkillsData visualizationTeam managementData modelingClient relationship managementStrategic thinkingData management
Requirements:
4+ years of experience in healthcare data analytics, with 2+ years in a leadership role Deep understanding of healthcare data types (EHR, claims, clinical registries, etc.) Proven experience managing analytic projects and teams Strong communication skills and ability to present insights clearly Proficiency in Python, SAS, SQL, and data visualization tools (e.g., Tableau)
Responsibilities:
Lead, coach, and develop a high-performing analytics team Oversee capacity planning and workload management Foster a collaborative, solution-oriented team culture Lead client requirement sessions to understand analytical needs Translate business questions into data-driven solutions Communicate insights clearly to technical and non-technical stakeholders Develop and implement innovative data science solutions to address healthcare challenges Manage complex healthcare datasets including clinical registries, administrative data, and claims Build and refine statistical models to drive clinical and operational improvements Ensure the quality, accuracy, and impact of analytic deliverables Stay current with the latest advancements in healthcare analytics and data science Develop and implement new and improved data science solutions to address healthcare challenges Build, validate, and refine statistical models to enhance data-driven decision-making Manage and analyze large healthcare datasets, including clinical registries, administrative data, claims, and insurance records. Perform statistical analysis and develop structured analytic plans. Create efficient, reusable code for data manipulation and analysis. Build and refine statistical models to improve healthcare outcomes and operational efficiency. Diagnose, validate, and enhance model performance for accuracy and reliability.
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