Senior Health Equity Analyst (Data Intelligence Analyst) - Remote

Cedars-Sinai; Tallahassee (FL); A distancia; USD 95.000 - 125.000; Jornada completa

Descripción de la vacante

Cedars-Sinai seeks a Senior Health Equity Analyst/ Data Intelligence Analyst to translate clinical and business needs into data-driven insights that advance health equity. You will gather requirements, define data quality standards, and deliver reports, dashboards, and data sets to support health equity measures across diverse patient populations.

The role requires advanced SQL querying, experience with BI tools, and a healthcare data background to drive evidence-based decision-making and reduce

Formación

• Five (5) plus years’ experience with SQL and data querying, reporting, visualization, and BI technologies.
• Experience supporting health equity, population health, or healthcare disparities initiatives.
• Epic Clarity Inpatient Certification and SQL Server certification preferred.

Responsabilidades

• Translates end-user requests into complex business and technical requirements for health equity initiatives.
• Develops specifications for reports, dashboards, and analytics based on health equity measures.
• Writes SQL code to extract, transform, and analyze data from multiple sources.
• Analyzes complex health data to identify patterns, gaps, and disparities in care delivery.
• Produces reports, dashboards, and data sets for clinical and operational decision-makers.

Conocimientos

SQL

Data querying

Reporting

Visualization

Power BI

Python

R

Educación

Bachelor’s Degree in Computer Science / IT or related quantitative field

Herramientas

Epic Clarity Inpatient Certification

SQL Server certification

Descripción del empleo

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.

Our staff reflects the culturally and ethnically diverse community we serve. 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.

In addition to strong technical and analytical capabilities, this position requires an understanding of how healthcare data can be used to identify, measure, and address disparities in care delivery, access, utilization, quality, and patient outcomes across diverse patient populations. The analyst evaluates data through a health equity lens, helping stakeholders understand not only what the data reveals, but also what those findings may mean for equitable care delivery, organizational performance, and patient outcomes.

The successful candidate will combine advanced analytical thinking, healthcare data expertise, and an understanding of health equity principles to develop meaningful insights, support evidence‑based decision‑making, and contribute to initiatives that improve healthcare quality and reduce disparities.

*Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas *

#LI-Remote

#

Responsibilities

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