Principal Data Intelligence Analyst (Clinical Operations)

New

Cedars-SinaiHealthcare analytics

Open to remote in Approved States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, TexasFull-TimePrincipal

Salary not disclosed

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Job Details

Develop complex, optimized SQL queries against enterprise healthcare data, including Epic Clarity and Caboodle.
Use Python for data analysis, data quality assessment, statistical analysis, automation, data mining, and predictive modeling.
Translate Epic clinical workflows and data structures into operational measures.
Design data models, reusable analytic datasets, reporting specifications, and scalable data products.
Develop and support Tableau dashboards and other visualization solutions.
Perform requirements documentation, source-to-target mapping, data profiling, testing, quality assurance, and reconciliation.
Identify data quality issues, investigate root causes, and establish validation and governance practices.
Develop predictive and prescriptive analytics for operational planning, risk identification, resource allocation, and performance improvement.
Provide consultation to users and lead cross-functional teams addressing data and analytic issues.
Lead end-user training and provide technical and functional leadership on cross-functional initiatives.

Lead strategic clinical operations analytics projects across quality, safety, access, throughput, productivity, utilization, staffing, financial performance, and patient experience.
Partner with clinical and operational stakeholders to define business questions, success measures, analytic requirements, and reporting priorities.
Facilitate consensus-building sessions with physicians, operational leaders, clinical staff, and end users.
Develop optimized SQL queries against enterprise healthcare data, including Epic Clarity and Caboodle.
Extract, transform, validate, and analyze large clinical, operational, and financial datasets.
Use Python for exploratory data analysis, data quality assessment, statistical analysis, automation, data mining, and predictive modeling.
Translate Epic clinical workflows and data structures into operational measures and actionable insights.
Design data models, reusable analytic datasets, reporting specifications, and scalable data products.
Develop and support Tableau dashboards and other visualization solutions.
Lead end-user training, adoption, documentation, and post-deployment support; mentor analysts and peers.

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