Principal Data Intelligence Analyst – Clinical Operations

Cedars-Sinai

. Lead strategic clinical operations analytics projects involving quality, safety, access, throughput, productivity, utilization, staffing, financial performance, and patient experience .

Posted 9/15/2026full-timeRemote • Arizona • United StatesLead💰 $69 - $111 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading clinical operations analytics projects, utilizing advanced SQL and Python for data analysis, and developing predictive analytics to enhance healthcare performance. Proficient in translating complex data structures into actionable insights and fostering collaboration among clinical and operational stakeholders.

Highest-signal resume keywords

Advanced SQL SkillsPython Data AnalysisEpic Clarity ExperienceTableau Dashboard DevelopmentPredictive Analytics Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceHealthcare AnalyticsStatistical AnalysisData ModelingData ValidationData TransformationData MiningPerformance OptimizationQuality Assurance

Soft Skills

Consensus BuildingMentoringCollaborationTrainingCommunication

Tools & Technologies

Epic CaboodleTableauMicrosoft FabricPower BIData Factory

Certifications & Qualifications

Epic Clarity CertificationEpic Caboodle Certification

Industry Keywords

Clinical OperationsHealthcare Performance ImprovementOperational PlanningResource AllocationPatient Experience

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Lead strategic clinical operations analytics projects involving 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 complex, 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 meaningful 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
Perform requirements documentation, source-to-target mapping, data profiling, testing, quality assurance, and reconciliation with report developers and data engineering teams
Identify data quality issues, investigate root causes, and establish validation and governance practices
Develop predictive and prescriptive analytics to support operational planning, risk identification, resource allocation, and performance improvement
Lead end-user training, adoption, documentation, and post-deployment support
Mentor analysts and peers and provide technical and functional leadership on cross-functional initiatives

Requirements

What you’ll need

Ten (10) plus years of experience in data analytics, business intelligence, healthcare analytics, clinical operations, or a related discipline
Demonstrated experience supporting clinical operations, healthcare performance improvement, or quantitative analysis of quality, efficiency, access, utilization, or productivity measures
Advanced SQL skills, including complex joins, subqueries, common table expressions, window functions, performance optimization, data validation, and reconciliation
Strong hands-on Python experience for data analysis, automation, data mining, statistical analysis, and modeling
Demonstrated experience with Epic Clarity and Epic Caboodle, including the ability to understand Epic data structures and map clinical workflows to analytic requirements
Experience performing the full analytics delivery lifecycle: requirements gathering, data discovery, exploratory analysis, data modeling, development, testing, deployment, documentation, training, and support
Experience developing predictive or prescriptive analytics
Experience with Tableau or a comparable enterprise visualization platform
Experience with Microsoft Fabric, including one or more of the following: Fabric Data Factory, Lakehouse, Warehouse, notebooks, pipelines, semantic models, Power BI, or governance capabilities, highly preferred
Bachelor’s Degree in Computer Science, Information Technology, Health Informatics, Business Analytics, or a related field
Epic Clarity and/or Caboodle Certification highly preferred

Benefits

Comp & perks

Outstanding benefit package
Competitive salaries
Inclusive, culturally and ethnically diverse work environment