[Hiring] Senior Health Equity Analyst @Cedars-Sinai

Role Description

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. This role gathers and translates complex business requirements, data definitions, business rules, and data quality standards into actionable analytical solutions, reports, dashboards, and data sets that support health equity measures.

• Translates end-user requests into complex business and technical requirements, including data definitions, business rules, and data quality specifications, supporting health equity initiatives.
• Develops specifications for reports, dashboards, and analytical solutions based on business and clinical needs, available data elements, and defined health equity measures and objectives.
• Writes Structured Query Language (SQL) code and queries to extract, transform, validate, and analyze data from internal and external sources, identifying trends, variations, and potential disparities in healthcare delivery and outcomes.
• Analyzes complex business and clinical questions using quantitative and qualitative data, applying critical thinking and healthcare knowledge to identify patterns, gaps, and opportunities for improvement across patient populations.
• Demonstrates a strong understanding of report analysis and development, including the ability to triage data requests, clarify stakeholder needs, and translate business questions into meaningful analytical approaches that support health equity priorities.
• Produces sophisticated reports, data sets, dashboards, and analytical deliverables in collaboration with team members, vendors, and Enterprise Information Systems (EIS) stakeholders, communicating findings and actionable insights to clinical, operational, and organizational decision-makers.
• Supports the identification, measurement, and monitoring of health disparities by analyzing relevant patient population data, including appropriate demographic and other available data elements, to evaluate differences in access, utilization, quality, and outcomes.
• Evaluates data quality, completeness, consistency, and appropriate use of patient population data, recognizing how limitations in data collection, classification, and reporting may affect the identification and interpretation of health disparities.
• Partners with clinical and operational stakeholders to understand the implications of analytical findings and support the development of data-informed strategies, performance measures, and improvement opportunities that advance health equity.
• Participates in the re-engineering of operational workflows, as needed, working with end users and business owners to evaluate existing processes, identify opportunities for improvement, and assess the potential impact on patient care and equitable service delivery.
• Contributes to strategic discussions by proactively identifying analytical and technical options, evaluating associated advantages and limitations, and recommending approaches that align with organizational priorities, data intelligence objectives, and health equity goals.
• Communicates analytical findings in a clear, accessible, and actionable manner, helping stakeholders understand the relationship between data insights, identified disparities, and opportunities to improve care delivery and health equity outcomes.

Qualifications

• Five (5) plus years’ experience with SQL, with demonstrated proficiency in data querying, programming, reporting, visualization, and business intelligence technologies, including Microsoft SQL Server, Power BI, Microsoft Fabric, Python, R, or comparable tools.
• 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 approaches to 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.
• Collaborating with multidisciplinary teams to translate analytical findings into measurable improvement opportunities, performance indicators, or actionable recommendations.
• Demonstrated ability to connect technical data analysis and reporting outputs to their broader implications for patient care, organizational priorities, and health equity outcomes.
• Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench and Radar build requests.
• Technical proficiency in Reporting Workbench and Radar build. Able to teach sophisticated Reporting Workbench and Radar build concepts.

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, or related quantitative field.
• Epic Clarity Inpatient Certification preferred.
• SQL Server certification preferred.

Benefits

• Outstanding benefit package.
• Competitive salaries.
• Commitment to hiring the best, most committed employees.
• Dedication to creating a multifaceted, inclusive environment.

Company Description

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 by the esteemed “CHIME Digital Health Most Wired” recognition program, achieving a Level 10 certification among more than 300 surveyed healthcare organizations.