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Health Equity Data Analyst Jobs (NOW HIRING)

Data Analyst 1 - 12348

Albany, NY · On-site

$66K - $85K/yr

They will analyze program data for both routine operations and special projects, as well as ... Understanding health equity, social determinants of health and health disparities is critical to ...

Senior Data Analyst

New York, NY · On-site

$94K - $118K/yr

At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where ... The Senior Data Analyst will support several projects led by Dr. Noa Krawczyk, Assistant Professor ...

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Meaningful Start-up equity 100% health, vision & dental primary coverage + 75% health, vision ...

Data Analyst 1 - 21

Albany, NY · On-site

$66K - $85K/yr

Supports data analysis, data quality investigations, writing up issues and keeping track of ... Understanding health equity, social determinants of health and health disparities is critical to ...

Data Analyst Location: Austin, TX (Flexible / Hybrid) Reporting to: Director, GTM About Hippo ... FSA) for health and dependent care, and an Employee Assistance Program (EAP) * Equity - This ...

Compensation & Equity Data Analysis and Reporting: Analyze internal and external compensation ... including health, dental and vision. The actual salary will vary by geographic region and job ...

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Health Equity Data Analyst information

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How much do health equity data analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for health equity data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

What does a Health Equity Data Analyst do?

A Health Equity Data Analyst collects, analyzes, and interprets health data to identify disparities in health outcomes across different populations. They use statistical tools to assess the impact of social determinants such as race, income, and geography on health equity. Their work helps organizations and policymakers develop strategies to reduce health disparities and promote fair access to health resources. Health Equity Data Analysts often collaborate with public health teams, researchers, and community organizations to inform evidence-based decision-making.

What are some common challenges faced by Health Equity Data Analysts when working with diverse healthcare datasets?

Health Equity Data Analysts often encounter challenges related to data quality and completeness, especially when analyzing datasets from varied healthcare settings or underserved populations. Discrepancies in how demographic and health information is recorded can make it difficult to draw accurate conclusions about disparities. Additionally, ensuring data privacy and maintaining cultural sensitivity while interpreting results are important responsibilities. Collaborating closely with healthcare providers, community organizations, and policy teams is essential to validate findings and drive meaningful change.

What is the difference between Health Equity Data Analyst vs Public Health Data Analyst?

AspectHealth Equity Data AnalystPublic Health Data Analyst
Required CredentialsBachelor's in public health, data analysis, or related field; experience with health disparitiesBachelor's in public health, statistics, or related; experience with health data
Work EnvironmentHealthcare organizations, government agencies, non-profits focused on health disparitiesPublic health departments, research institutions, government agencies
Employer & Industry UsageOrganizations addressing health equity and social determinants of healthBroader public health initiatives, disease prevention, health policy

The main difference is that a Health Equity Data Analyst specializes in analyzing data related to health disparities and social determinants, often working within organizations focused on reducing health inequities. In contrast, a Public Health Data Analyst has a broader focus on general public health data, including disease trends and health policies. Both roles require similar credentials but differ in their specific focus areas and work environments.

What are the key skills and qualifications needed to thrive as a Health Equity Data Analyst, and why are they important?

To thrive as a Health Equity Data Analyst, you need a strong background in data analysis, public health principles, and a relevant degree such as statistics, epidemiology, or public health. Proficiency in statistical software (like R or SAS), data visualization tools (such as Tableau or Power BI), and experience with healthcare datasets are typically required. Strong communication, cultural competency, and critical thinking skills help you effectively interpret data and collaborate with diverse stakeholders. These skills are crucial for identifying disparities, informing policy, and driving initiatives to promote equitable health outcomes.
Infographic showing various Health Equity Data Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,642 per year, or $37.3 per hour.
Data Analyst (SQL Expertise)

Data Analyst (SQL Expertise)

United Hospital Fund

Manhattan, NY • On-site

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Improving Health Care for Every New Yorker

United Hospital Fund (UHF) is dedicated to creating an effective and equitable healthcare system for all New Yorkers. As an independent nonprofit, we analyze public policy, unite diverse stakeholders, and support innovative programs to improve health and healthcare. Our mission includes breaking down barriers in health policy and delivery to ensure equitable health opportunities. UHF’s emerging new line of Medicaid work seeks to achieve this vision by bridging and advancing quality and equity and supporting the delivery of health-related social needs (HRSN) screening and services.

About the Role:

We are seeking a technically-driven Data Analyst with expertise in SQL to architect and execute data transformations for our Medicaid initiatives. This role is not just about analyzing data—it’s about building the robust, scalable SQL infrastructure that translates complex claims and HRSN data into actionable insights. You will be responsible for turning "messy" administrative data into clean, analysis-ready datasets that drive health equity for all New Yorkers.

Key Responsibilities:

  • Advanced SQL Development: Architect complex SQL queries and stored procedures to perform high-volume data cleaning, transformation, and aggregation. You will help build and maintain the department’s primary codebase, ensuring efficiency when working with millions of records.
  • Data Pipeline & ETL Optimization: Develop automated workflows to detect and address data quality issues. You will be one of the "owners" of data readiness, ensuring that Medicaid claims and other administrative data are structured for rapid analysis.
  • Technical Data Governance: Perform code reviews and implement rigorous version control (Git) and documentation standards. You will ensure the reproducibility of results through advanced programming techniques in SQL.
  • Metric Architecture: Write sophisticated SQL code to calculate quality improvement metrics, equity outcomes, and disparities across physical and behavioral health service delivery.
  • Visualization: Collaborate with stakeholders as needed to translate backend data into front-end visualizations and narratives, bridging the gap between raw data and executive decision-making.

Required Qualifications:

  • SQL Proficiency: Minimum of 2+ years of experience writing advanced SQL (e.g., complex joins, CTEs, window functions, and query optimization) within cloud-based platforms.
  • Data Scale Experience: Proven track record of managing and transforming datasets exceeding one million records.
  • Healthcare Domain Expertise: Deep understanding of health data (Medicaid claims, provider networks, or clinical data) and the specific nuances of healthcare data quality.
  • Engineering Mindset: A passion for writing clean, modular, and reusable code. You should enjoy solving "puzzle-like" data transformation challenges.
  • Reproducibility: Professional experience with Git/GitHub and creating thorough technical documentation.
  • Communication: Ability to explain technical data architecture to non-technical policy experts.

Preferred Qualifications:

  • Education: Bachelor’s degree in Data Science, Computer Science, Health Informatics, or a related quantitative field.
  • R Programming: Ability to create advanced (e.g., nested, higher-order) functions in R.
  • Visualization: Proficiency in Tableau or other data visualization and dashboard tools.
  • Social Determinants Knowledge: Experience working with HRSN (Health-Related Social Needs) or Census data.

Application Details

Applicants can apply for the Data Analyst position by visiting our career page https://uhfnyc.org/about/careers/

Application deadline for first round consideration is April 10, 2026

Salary Range: $85,000 – $95,000

*This position is externally funded and continued employment is contingent upon the ongoing availability of that funding. It is anticipated to continue through at least March 31, 2027.

Required Documents:

  • Resume
  • Cover letter
  • SQL Programming sample (Please provide a sample that demonstrates your ability to join and transform complex datasets).

Compensation and Benefits: United Hospital Fund offers a competitive salary commensurate with experience combined with generous benefits, including health, dental, voluntary vision, life, and disability insurance; a 403b retirement plan; paid time off; a commuting subsidy; collegial environment.

United Hospital Fund is an Equal Opportunity Employer committed to cultivating a diverse and inclusive workplace. Applicants receive consideration for employment without regard to race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender identity, gender expression, age, physical or mental ability, veteran status, military obligations, citizenship, and marital status. People of color, all faiths and abilities, women, immigrants, veterans, LGBTQIA2S+ people, and those with lived experiences in the communities we serve, are strongly encouraged to apply to join our team.