Principal Data Intelligence Analyst – Clinical Operations

This is a fully remote position, open to applicants in Arizona, +8 more locations.

📋 Description

• Oversee strategic analytics initiatives in clinical operations that encompass quality, safety, access, throughput, productivity, utilization, staffing, financial performance, and patient experience.

• Collaborate with clinical and operational stakeholders to articulate business inquiries, success metrics, analytic needs, and reporting priorities.

• Facilitate consensus-building meetings with physicians, operational leaders, clinical personnel, and end users.

• Create intricate, optimized SQL queries utilizing enterprise healthcare data, including Epic Clarity and Caboodle.

• Extract, transform, validate, and analyze extensive clinical, operational, and financial datasets.

• Utilize Python for exploratory data analysis, assessing data quality, conducting statistical analysis, automation, data mining, and predictive modeling.

• Convert Epic clinical workflows and data structures into significant operational metrics and actionable insights.

• Design data models, reusable analytic datasets, reporting specifications, and scalable data products.

• Develop and maintain Tableau dashboards and other visualization solutions.

• Conduct requirements documentation, source-to-target mapping, data profiling, testing, quality assurance, and reconciliation with report developers and data engineering teams.

• Identify data quality challenges, investigate root causes, and implement validation and governance practices.

• Create predictive and prescriptive analytics to enhance operational planning, risk identification, resource allocation, and performance improvement.

• Lead training for end users, adoption processes, documentation, and post-deployment support.

• Mentor analysts and peers, providing technical and functional leadership on cross-functional projects.

⛳️ Requirements

• A minimum of ten (10) years of experience in data analytics, business intelligence, healthcare analytics, clinical operations, or a similar field.

• Proven experience in supporting clinical operations, healthcare performance enhancements, or quantitative analysis of quality, efficiency, access, utilization, or productivity measures.

• Advanced proficiency in SQL, encompassing complex joins, subqueries, common table expressions, window functions, performance optimization, data validation, and reconciliation.

• Strong practical experience with Python for data analysis, automation, data mining, statistical analysis, and modeling.

• Demonstrated familiarity with Epic Clarity and Epic Caboodle, including the ability to comprehend Epic data structures and align clinical workflows with analytic needs.

• Experience in the complete analytics delivery lifecycle: requirements gathering, data discovery, exploratory analysis, data modeling, development, testing, deployment, documentation, training, and support.

• Background in developing predictive or prescriptive analytics.

• Proficient with Tableau or a similar 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 is highly preferred.

• Bachelor’s Degree in Computer Science, Information Technology, Health Informatics, Business Analytics, or a related area.

• Certification in Epic Clarity and/or Caboodle is highly preferred.

• Preference for local candidates or those willing to relocate to Los Angeles; remote candidates may be considered from Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, or Texas.

🏝️ Benefits

• Exceptional benefits package.

• Competitive salary offerings.

• An inclusive, diverse work environment.

• Day shift available.

• 8-hour working shifts.