AI use among detectives and criminal investigators is little observed so far. Measured exposure for detectives and criminal investigators: 4% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Grow your career at Cedars-Sinai!

Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing.

The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “CHIME Digital Health Most Wired“ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.

Why work here?

Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for.

What you will be doing:

The Principal Data Intelligence Analyst (Clinical Operations) is independently responsible for engaging in strategic data/analytic projects. Analyzes sophisticated problems and issues using data from internal and external sources. Considered highly skilled and proficient in subject area. Conducts sophisticated work important to Cedars-Sinai. Provide consultation to users and lead cross-functional teams to address data and analytic issues.

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 that communicate complex clinical and operational concepts clearly.

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 appropriate 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.

*Local candidates or those willing to relocate to Los Angeles are preferred; remote candidates may be considered in Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, or Texas*

Experience Requirements:

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.

Educational Requirements:

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

Epic Clarity and/or Caboodle Certification highly preferred.

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