Principal Data Intelligence Analyst (Clinical Operations) - Remote

Cedars-Sinai; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Cedars-Sinai in Los Angeles seeks a Principal Data Intelligence Analyst (Clinical Operations) to lead strategic analytics projects, turning complex clinical and operational data into actionable insights.

You will partner with physicians and leaders, develop predictive and prescriptive models, design data products, and build Tableau dashboards while mentoring peers.

This role prefers local relocation to LA or remote in approved states (AZ, CA, CO, FL, GA, MN, NV, OR, TX).

Qualifications

• Ten+ years in data analytics, healthcare analytics, clinical operations, or related field.
• Advanced SQL skills including complex joins, CTEs, window functions, validation and reconciliation.
• Strong Python experience for data analysis, automation, data mining, statistics, and modeling.
• Experience with Epic Clarity and Caboodle data structures and mapping workflows to analytics.

Responsibilities

• Lead strategic clinical operations analytics projects across quality, safety, access, throughput, staffing, financial performance, and patient experience.
• Partner with clinicians and operational leaders to define business questions, success metrics, requirements and reporting priorities.
• Facilitate consensus with physicians and leaders; translate workflows into analytic requirements.
• Develop complex SQL queries against enterprise healthcare data (Epic Clarity/Caboodle).
• Extract, transform, validate and analyze large clinical, operational, and financial datasets.
• Create and maintain Tableau dashboards and other visualizations to communicate insights clearly.
• Lead end-user training, documentation, and post-deployment support.
• Mentor analysts and lead cross-functional initiatives.

Skills

Advanced SQL skills

Python for data analysis

Data analytics leadership

Data modeling & ETL

Tableau visualization

Education

Bachelor’s Degree in Computer Science/Info Tech/Health Informatics/Business Analytics

Epic Clarity and Caboodle Certification (preferred)

Tools

Epic Clarity

Epic Caboodle

Tableau

Microsoft Fabric

Power BI

Job description

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.

Job Description

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.
• Prefer someone living locally or willing to relocate to LA area, but open to remote in Approved States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas*

Qualifications

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.