Senior Health Equity Analyst (Data Intelligence Analyst)

Cedars-Sinai Medical Center•Los Angeles, CA

16h•Remote

About The Position

The Senior Health Equity Analyst/Data Intelligence Analyst partners with clinical, operational, and technical stakeholders to translate business and clinical needs into data-driven insights that advance health equity. The role turns complex business requirements, data definitions, business rules, and data quality standards into analytical solutions, reports, dashboards, and data sets supporting health equity measures. The analyst applies healthcare data expertise and health equity principles to identify and interpret disparities in care delivery, access, utilization, quality, and patient outcomes across diverse patient populations. The role develops meaningful insights, supports evidence-based decisions, and contributes to initiatives intended to improve healthcare quality and reduce disparities. The position collaborates with team members, vendors, Enterprise Information Systems stakeholders, and clinical and operational decision-makers. It evaluates patient population data and data quality, communicates findings and actionable insights, supports data-informed strategies and improvement opportunities, and may participate in operational workflow re-engineering. Remote work is approved in Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, and Texas.

Requirements

At least five years of experience with SQL and demonstrated proficiency in data querying, programming, reporting, visualization, and business intelligence technologies.
Hands-on experience performing reporting analysis and developing custom reports, dashboards, and data-driven analytical solutions.
Experience supporting health equity, population health, quality improvement, patient experience, or healthcare disparity reduction initiatives.
Familiarity with health equity measures, population-level analytics, and methods of stratifying healthcare data to identify variations in access, utilization, quality, and outcomes.
Experience working with demographic, socioeconomic, geographic, or other relevant patient population data to evaluate disparities in healthcare delivery and outcomes.
Experience collaborating with multidisciplinary teams to translate analytical findings into measurable improvement opportunities, performance indicators, or actionable recommendations.
Ability to connect technical data analysis and reporting outputs to implications for patient care, organizational priorities, and health equity outcomes.
Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench requests, and Radar build requests.
Technical proficiency in Reporting Workbench and Radar build.
Ability to teach sophisticated Reporting Workbench and Radar build concepts.
Bachelor’s degree in Computer Science, Information Technology, or a related quantitative field.

Nice To Haves

Epic Clarity Inpatient Certification.
SQL Server certification.
Experience with Microsoft SQL Server, Power BI, Microsoft Fabric, Python, R, or comparable tools.

Responsibilities

Translate end-user requests into complex business and technical requirements, including data definitions, business rules, and data quality specifications for health equity initiatives.
Develop specifications for reports, dashboards, and analytical solutions based on business and clinical needs, available data, and defined health equity measures and objectives.
Write SQL code and queries to extract, transform, validate, and analyze data from internal and external sources, identifying trends, variations, and potential disparities.
Analyze complex business and clinical questions using quantitative and qualitative data to identify patterns, gaps, and opportunities for improvement across patient populations.
Triage data requests, clarify stakeholder needs, and translate business questions into analytical approaches that support health equity priorities.
Produce reports, data sets, dashboards, and other analytical deliverables with team members, vendors, and Enterprise Information Systems stakeholders; communicate findings and actionable insights to decision-makers.
Analyze patient population data to identify, measure, and monitor disparities in access, utilization, quality, and outcomes.
Evaluate the quality, completeness, consistency, and appropriate use of patient population data, including how data limitations may affect the identification and interpretation of disparities.
Partner with clinical and operational stakeholders to interpret findings and support data-informed strategies, performance measures, and improvement opportunities that advance health equity.
Participate in re-engineering operational workflows as needed, evaluating existing processes, improvement opportunities, and potential effects on patient care and equitable service delivery.
Identify analytical and technical options, assess their advantages and limitations, and recommend approaches aligned with organizational priorities, data intelligence objectives, and health equity goals.
Communicate analytical findings clearly and accessibly, connecting data insights and identified disparities to opportunities to improve care delivery and health equity outcomes.