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Health Data Analytics Jobs in New York (NOW HIRING)

Data Analytics Engineer

Farmingdale, NY · On-site

$115K - $130K/yr

Health, vision, and dental insurance * 12 weeks of fully paid parental leave * Fertility and family ... Analytics Data Modeling: Transform raw data into clean, well-structured dimensional models, data ...

Data Analytics Engineer

Farmingdale, NY · On-site

$115K - $130K/yr

Health, vision, and dental insurance * 12 weeks of fully paid parental leave * Fertility and family ... Analytics Data Modeling: Transform raw data into clean, well-structured dimensional models, data ...

Data Analytics Engineer

Farmingdale, NY · On-site

$115K - $130K/yr

Health, vision, and dental insurance * 12 weeks of fully paid parental leave * Fertility and family ... Analytics Data Modeling: Transform raw data into clean, well-structured dimensional models, data ...

The Data Analyst will use a data-driven approach to support Quality and Performance Improvement program activities and guide population health and value-based initiatives in Ambulatory Care. This ...

Showing results 21-40

Health Data Analytics information

See New York salary details

$26

$59

$103

How much do health data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for health data analytics in New York is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $67.84 per hour, depending on experience, location, and employer.

What is health data analytics?

Health data analytics is the process of examining large sets of healthcare data to uncover patterns, trends, and insights that can help improve patient outcomes and healthcare operations. Professionals in this field use statistical, computational, and analytical methods to interpret data from electronic health records, clinical trials, claims, and other sources. The goal is to support evidence-based decision making, optimize resource allocation, and enhance the quality of care. Health data analysts often work in hospitals, research institutions, insurance companies, and public health organizations.

What are the key skills and qualifications needed to thrive as a health data analyst?

To thrive as a Health Data Analyst, you need a solid background in statistics, data analysis, and health informatics, often supported by a degree in a related field such as public health, statistics, or computer science. Proficiency with analytical tools like SQL, Python, R, and healthcare data systems (e.g., EHRs, HL7) is typically required, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable healthcare insights. These skills enable analysts to improve patient outcomes, support decision-making, and drive efficiency within healthcare organizations.

What are some common challenges faced by professionals working in health data analytics, and how can they be managed?

Professionals in Health Data Analytics often encounter challenges such as managing large volumes of sensitive patient data, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources with varying formats and quality. Addressing these issues requires strong technical skills, attention to detail, and collaboration with IT, clinical, and compliance teams. Continuous learning about new analytics tools and regulatory changes also helps professionals stay effective and maintain data integrity.

What is the difference between Health Data Analytics vs Health Data Analysis?

AspectHealth Data AnalyticsHealth Data Analysis
Required SkillsData analysis, statistical skills, knowledge of healthcare dataData interpretation, statistical skills, healthcare knowledge
Tools & SoftwareAnalytics platforms, programming languages (Python, R)Excel, statistical software, visualization tools
Work EnvironmentData teams, healthcare organizations, research institutionsHealthcare providers, research settings, hospitals
FocusExtracting insights from large datasets, predictive modelingInterpreting data results, reporting findings

Health Data Analytics involves using advanced tools and techniques to extract insights from large healthcare datasets, often focusing on predictive modeling and data-driven decision-making. Health Data Analysis emphasizes interpreting healthcare data to inform clinical or operational decisions, typically involving statistical analysis and reporting. Both roles require healthcare knowledge and analytical skills but differ mainly in scope and complexity.

How do I become a health data analyst?

To become a health data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like SQL, Excel, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Gaining relevant experience through internships or certifications can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical and patient data to improve healthcare outcomes and efficiency. It requires skills in statistics, data management, and tools like SQL and Python, with certifications often enhancing job prospects. The demand for professionals in this area is increasing due to the expansion of electronic health records and data-driven decision making.

What do data analysts do in healthcare?

Health data analysts collect, process, and interpret healthcare data to identify trends, improve patient outcomes, and support decision-making. They use tools like Excel, SQL, and statistical software, and often work with electronic health records and healthcare databases to ensure data accuracy and compliance with privacy regulations.

What job categories do people searching Health Data Analytics jobs in New York look for?

The top searched job categories for Health Data Analytics jobs in New York are:

Infographic showing various Health Data Analytics job openings in New York as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $124,581 per year, or $59.9 per hour.

$70K - $80K/yr

Full-time

Posted 6 days ago


Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

Title: BI Analyst, Data & Analytics

Reports To: Sr. Director, Data, Analytics, and AI

FULLY ON-SITE IN MELVILLE

Salary: $70,000 - $80,000

Desired Experience level:

Min: Related internship experience

Max: 5 years of full-time experience

JOB SUMMARY:

The Business Intelligence Analyst will design, build, and maintain reports and dashboards that turn clinical, operational, and administrative data into actionable insight across the organization. This role works primarily within the native reporting and analytics environments of our source EHR and operational platforms, and extends that reporting through Google Looker (including Looker Studio) for cross-system dashboards, self-service analytics, and executive visibility.

This position sits at the intersection of data, operations, and clinical workflows in a regulated home care environment. The BI Analyst partners with business stakeholders to define metrics and reporting requirements, ensures data accuracy and consistency across integrated systems, and delivers trusted, well-documented dashboards that support day-to-day operations, compliance monitoring, and strategic decision-making.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Design, build, and maintain reports and dashboards directly within source EHR and operational platforms' native reporting modules, serving clinical, operational, billing, and administrative teams
  • Develop and maintain dashboards and data visualizations in Google Looker and Looker Studio, including semantic modeling (LookML), explores, and scheduled report delivery
  • Partner with business stakeholders to gather, analyze, and document reporting requirements, KPI definitions, and success metrics; translate business questions into clear, build-ready analytics specifications
  • Establish and maintain a metrics dictionary and reporting documentation to ensure consistent definitions across teams and systems
  • Validate data accuracy and reconcile discrepancies between source EHR systems, integrated platforms, and downstream reporting; investigate and resolve data quality issues with engineering and vendor partners
  • Support recurring operational, financial, and regulatory reporting cycles, including census, authorizations, visit utilization, scheduling and staffing, billing, and quality metrics
  • Monitor dashboard performance, usage, and adoption; iterate on design and layout to improve usability and self-service analytics across the organization
  • Coordinate with external vendors and third-party partners on report specifications, data extracts, and integration-related reporting needs
  • Assist with user acceptance testing (UAT) and validation of reporting outputs following system updates, integrations, and configuration changes
  • Support adherence to HIPAA requirements, minimum-necessary data access principles, data governance standards, and internal compliance controls in all reporting and analytics activities

QUALIFICATIONS/EDUCATION/LICENSURE/CERTIFICATIONS:

  • Bachelor's degree in Business, Health Informatics, Information Systems, Data Analytics, Computer Science, or related field
  • Demonstrated hands-on experience building dashboards and reports required (professional, internship, or substantial academic/project work); experience in healthcare, home care, or another regulated environment preferred
  • Hands-on experience building reports and dashboards within EHR or clinical/operational platform reporting tools
  • Experience with Google Looker and/or Looker Studio preferred; LookML exposure a plus; experience with other BI tools (e.g., Tableau, Power BI) also considered
  • Proficiency in SQL for data exploration, validation, and report development
  • Strong analytical, problem-solving, and organizational skills with a high standard for data accuracy
  • Strong communication skills and ability to translate data findings for both technical and non-technical audiences
  • Detail-oriented with ability to manage multiple priorities in a fast-paced environment
  • Familiarity with healthcare data concepts (e.g., census, authorizations, visit/claims data, payer requirements) preferred
  • Familiarity with tools such as Jira, Confluence, ClickUp or similar platforms preferred

Ideal Candidate Profile

  • Analytics professional who enjoys working close to the source data and understands that trustworthy dashboards start with well-understood source systems
  • Curious about how clinical and operational workflows generate data - and how that data can drive better decisions
  • Comfortable working across technical and business teams, from clinicians and schedulers to engineers and executives
  • Comfortable navigating the complexity of a growing healthcare organization - able to manage competing priorities, adapt to evolving workflows, and bring structure where there is ambiguity

Work Environment:

  • Monday - Friday (Full-Time, On-Site)

Compensation Range

  • Salary: $70,000 - $80,000

Always Compassionate Health is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Always Compassionate Health are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, creed, national, social or ethnic origin, political viewpoint, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, protected veteran status, citizenship status when otherwise legally able to work, or any other status protected by the laws or regulations in the locations where we operate.


If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!