Data Intelligence Analyst
About The Company Cedars-Sinai is a renowned healthcare organization recognized for its commitment to innovation, excellence in patient care, and leadership in healthtech advancements. Building on a rich legacy, Cedars-Sinai leverages cutting-edge AI technology and data analytics to enhance clinical outcomes, streamline operations, and foster scientific discovery. The organization’s dedication to quality and innovation has been acknowledged through prestigious awards such as the CHIME Digital Health Most Wired Level 10 certification, reflecting its high standards in infrastructure, interoperability, and population health initiatives. Cedars-Sinai prides itself on creating an inclusive, diverse environment that mirrors the community it serves, attracting talented professionals committed to making a meaningful impact in healthcare. About The Role The Principal Data Intelligence Analyst (Clinical Operations) will play a pivotal role in leading strategic data and analytics projects that directly influence clinical operations, quality, safety, and patient experience. This role requires a highly skilled professional capable of analyzing complex datasets from internal and external sources, developing advanced models, and translating data into actionable insights. The analyst will collaborate with clinical and operational stakeholders to define key questions, develop reports, and support decision-making processes. Responsibilities include designing data models, creating dashboards, performing predictive analytics, and mentoring team members. The ideal candidate will have extensive experience supporting healthcare analytics, proficiency in SQL and Python, and familiarity with Epic data structures. This role offers opportunities for remote work in approved states or relocation to the Los Angeles area, contributing to Cedars-Sinai’s ongoing mission to improve healthcare delivery through data-driven solutions.
Qualifications
Ten (10) or more years of experience in data analytics, business intelligence, healthcare analytics, or clinical operations. Proven experience supporting clinical operations, healthcare performance improvement, or quantitative analysis of quality, efficiency, access, utilization, or productivity measures. Advanced proficiency in SQL, including complex joins, subqueries, CTEs, window functions, and performance optimization. Strong hands-on experience with Python for data analysis, automation, data mining, statistical analysis, and predictive modeling. Experience working with Epic Clarity and Epic Caboodle, including understanding Epic data structures and mapping clinical workflows to analytics requirements. Full lifecycle analytics experience: requirements gathering, data discovery, analysis, modeling, development, testing, deployment, documentation, and training. Experience developing predictive or prescriptive analytics to support operational decision-making. Proficiency with Tableau or similar enterprise visualization platforms. Experience with Microsoft Fabric, including Data Factory, Lakehouse, Power BI, or related tools, is highly preferred. Bachelor’s Degree in Computer Science, Information Technology, Health Informatics, Business Analytics, or a related field. Epic Clarity and/or Caboodle Certification is highly desirable.
Responsibilities
Lead and execute strategic clinical operations analytics projects focusing on quality, safety, access, throughput, staffing, financial performance, and patient experience. Partner with clinical and operational stakeholders to define business questions, success metrics, and analytic requirements. Facilitate consensus-building sessions with physicians, clinical staff, and leadership to align on project goals and outcomes. Develop complex SQL queries against enterprise healthcare data sources including Epic Clarity and Caboodle. Extract, transform, validate, and analyze large datasets encompassing clinical, operational, and financial information. Utilize Python for exploratory data analysis, data quality assessments, statistical analysis, automation, and predictive modeling. Translate Epic clinical workflows and data structures into meaningful operational metrics and insights. Design scalable data models, reusable analytic datasets, reporting specifications, and data products. Create and maintain Tableau dashboards and other visualization tools to communicate complex data insights clearly and effectively. Perform requirements documentation, source-to-target mapping, data profiling, testing, and quality assurance activities. Identify data quality issues, investigate root causes, and implement validation and governance practices. Develop predictive and prescriptive analytics to inform operational planning, resource allocation, and risk management. Lead end-user training, support adoption, and provide ongoing documentation and support post-deployment. Mentor analysts and peers, providing technical and functional leadership across cross-functional initiatives.
Benefits
Competitive salary packages aligned with experience and expertise. Comprehensive health, dental, and vision insurance plans. Retirement savings plans with employer contributions. Generous paid time off and holiday leave. Opportunities for professional development and continuous learning. Inclusive and diverse work environment fostering innovation and collaboration. Remote work options in approved states or relocation assistance to Los Angeles area. Equal Opportunity Cedars-Sinai is an Equal Employment Opportunity employer. We are committed to creating a diverse and inclusive workplace and do not discriminate on the basis of race, religion, color, national origin, citizenship, ancestry, physical or mental disability, medical condition, marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected characteristic under federal or state law. We promote equal opportunity and support a work environment that respects and values individual differences.