Health Data Analyst in New York City | Transform Healthcare with Data

Are you passionate about healthcare and analytics? Join our dynamic team as a Health Data Analyst in New York City, where you’ll turn complex health data into actionable insights that improve patient outcomes and drive healthcare innovation.

About the Role

As a Health Data Analyst, you’ll be at the intersection of healthcare and technology, working with cutting-edge analytical tools to transform raw health data into meaningful insights. You’ll collaborate with healthcare professionals, researchers, and IT specialists to identify trends, improve operational efficiency, and support evidence-based decision-making. Your work will directly impact patient care quality and healthcare delivery systems across our network of facilities.

Key Responsibilities

• Collect, clean, and validate health data from multiple sources including electronic health records, clinical trials, and public health databases
• Develop and maintain dashboards, reports, and data visualizations to communicate complex health trends to stakeholders
• Perform statistical analyses to identify patterns, correlations, and predictive indicators in health outcomes
• Collaborate with clinical teams to understand data requirements and translate them into analytical solutions
• Ensure data quality, integrity, and compliance with healthcare privacy regulations (HIPAA)
• Support research initiatives by providing data analysis and methodological expertise
• Stay current with emerging healthcare analytics trends and recommend improvements to data processes

Requirements

We’re looking for candidates with a strong foundation in both healthcare and data analytics. The ideal candidate will have:

• Bachelor’s degree in Health Informatics, Statistics, Mathematics, Public Health, or related field (Master’s preferred)
• 2+ years of experience in healthcare data analysis or a related analytical role
• Proficiency in SQL, R, Python, or similar data analysis tools
• Experience with data visualization tools (Tableau, Power BI, or similar)
• Strong understanding of healthcare systems, terminology, and data standards
• Knowledge of statistical analysis methods and experimental design
• Familiarity with electronic health record systems and healthcare data formats
• Excellent communication skills to translate complex data findings to non-technical audiences
• Attention to detail and commitment to data accuracy and quality

Salary Range

The typical salary range for a Health Data Analyst in New York City is $65,000 – $95,000 USD per year, depending on experience, education, and specific skills. This range reflects the high demand for healthcare analytics professionals in the New York metropolitan area.

Benefits

We offer a comprehensive benefits package including health, dental, and vision insurance, retirement savings plans with company matching, generous paid time off, professional development opportunities, and the chance to work on meaningful projects that improve healthcare delivery and patient outcomes.

Why Join Us?

New York City’s healthcare landscape is at the forefront of innovation, and our team is driving that change through data. You’ll work alongside passionate professionals in a collaborative environment where your analytical skills directly contribute to better healthcare outcomes. With access to diverse patient populations and cutting-edge healthcare systems, you’ll gain unparalleled experience in health data analytics while making a real difference in people’s lives.

Work Environment

Our office is located in the heart of New York City, with convenient access to public transportation and surrounded by world-class healthcare institutions. We offer a hybrid work arrangement that combines in-office collaboration with remote work flexibility, allowing you to balance productivity with work-life harmony.

Equal Opportunity Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.