Senior Health Equity Analyst (Data Intelligence Analyst) - Remote

Cedars-Sinai•Los Angeles, CA

1d•$118,000 - $172,000•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 converts complex business requirements, data definitions, business rules, and data quality standards into analytical solutions, reports, dashboards, and data sets that support health equity measures. The analyst uses healthcare data to identify, measure, and address disparities in care delivery, access, utilization, quality, and patient outcomes across diverse patient populations. The position evaluates data through a health equity lens and helps stakeholders understand what findings may mean for equitable care delivery, organizational performance, and patient outcomes. The successful candidate combines advanced analytical thinking, healthcare data expertise, and knowledge of health equity principles to support evidence-based decisions, improve healthcare quality, and reduce disparities.

Requirements

Five or more years of experience with SQL, with 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 for 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 broader 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, and 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.

Responsibilities

Translate end-user requests into complex business and technical requirements, including data definitions, business rules, and data quality specifications, supporting health equity initiatives.
Develop specifications for reports, dashboards, and analytical solutions based on business and clinical needs, available data elements, 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 in healthcare delivery and outcomes.
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 in collaboration with team members, vendors, and Enterprise Information Systems stakeholders, and communicate actionable insights to decision-makers.
Analyze patient population data, including appropriate demographic and other available data elements, to identify, measure, and monitor disparities in access, utilization, quality, and outcomes.
Evaluate data quality, completeness, consistency, and appropriate use, accounting for how limitations in data collection, classification, and reporting may affect the identification and interpretation of disparities.
Partner with clinical and operational stakeholders to interpret analytical findings and support data-informed strategies, performance measures, and improvement opportunities that advance health equity.
Participate in re-engineering operational workflows by evaluating existing processes, identifying improvement opportunities, and assessing potential impacts on patient care and equitable service delivery.
Identify analytical and technical options, evaluate 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.