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Medical Data Analytics Jobs in New York (NOW HIRING)

American Express

Analyst-Data Analytics

New York, NY · On-site

... analytics, insights and data products for the Global Commercial Services (GCS) business. In this ... Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working ...

SDG Group

Manager Data Analytics

Bedminster, NJ · On-site

Data & Analytics Manager Location: Bedminster, NJ (Hybrid) Job Type: Full-Time About SDG Group SDG ... Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.

Oscar Health

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Oscar Health

Manager, Data Analytics

New York, NY · On-site

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Oscar Health

Manager, Data Analytics

Manhattan, NY · On-site

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Own and evolve our core data models, ensuring the analytics layer accurately reflects business ... Medical, Dental and Vision premiums covered at 100% for you and your dependents * Flexible time off ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Own and evolve our core data models, ensuring the analytics layer accurately reflects business ... Medical, Dental and Vision premiums covered at 100% for you and your dependents * Flexible time off ...

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How much do medical data analytics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for medical data analytics in New York is $40.84, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $42.07 per hour, depending on experience, location, and employer.

What is medical data analytics?

Medical data analytics is the process of collecting, analyzing, and interpreting large amounts of health-related data to improve patient outcomes, optimize hospital operations, and support medical research. It involves using statistical methods, machine learning, and specialized software to extract actionable insights from electronic health records, clinical trials, and other healthcare data sources. Professionals in this field help healthcare organizations make data-driven decisions to enhance care quality, reduce costs, and increase efficiency.

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

To thrive as a Medical Data Analyst, you need a strong background in statistics, data analysis, and healthcare knowledge, often supported by a degree in biostatistics, health informatics, or a related field. Proficiency with data analysis tools like SQL, Python, R, and experience with electronic health record (EHR) systems or data visualization platforms such as Tableau are typically required. Excellent problem-solving, attention to detail, and effective communication skills help you interpret complex data and convey findings to healthcare teams. These skills are vital for transforming raw medical data into actionable insights that drive better patient outcomes and operational decisions.

How does a medical data analyst typically collaborate with clinical and IT teams in a healthcare setting?

Medical Data Analysts frequently work as a bridge between clinical staff and IT professionals, translating clinical needs into data-driven solutions. They often participate in interdisciplinary meetings to identify data requirements, troubleshoot data quality issues, and develop dashboards or reports that inform patient care or operational decisions. Collaboration may involve explaining complex data trends to non-technical staff, ensuring privacy standards are maintained, and supporting the successful integration of analytics into electronic health records. This teamwork is critical for leveraging data to improve patient outcomes and organizational efficiency.

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

AspectMedical Data AnalyticsMedical Data Analysis
Required CredentialsOften requires degrees in data science, health informatics, or related fields; certifications in data analysis or healthcare analyticsTypically requires degrees in health sciences, statistics, or related fields; some certifications in data analysis
Work EnvironmentHealthcare organizations, research institutions, analytics firmsHospitals, clinics, research labs, healthcare providers
Employer & Industry UsageUsed for developing predictive models, improving patient outcomes, and operational efficiencyFocused on interpreting healthcare data, generating reports, and supporting clinical decisions

Medical Data Analytics involves advanced data modeling, predictive analytics, and often requires specialized certifications. Medical Data Analysis primarily focuses on interpreting healthcare data and generating reports. Both roles are essential in healthcare but differ in scope and technical complexity.

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, programming, and knowledge of healthcare systems, with opportunities in hospitals, insurance companies, and research organizations. The demand for professionals in this area is increasing as healthcare organizations adopt data-driven decision-making.

What does a medical data analyst do?

A medical data analyst collects, processes, and interprets healthcare data to identify trends, improve patient outcomes, and support clinical decision-making. They use statistical tools and software like SQL, Excel, or specialized analytics platforms, often working with electronic health records and ensuring data accuracy and security.

What are popular job titles related to Medical Data Analytics jobs in New York?

For Medical Data Analytics jobs in New York, the most frequently searched job titles are:

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

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

What cities in New York are hiring for Medical Data Analytics jobs?

Cities in New York with the most Medical Data Analytics job openings:

Medical Data Analytics jobs near you
Infographic showing various Medical Data Analytics job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $84,957 per year, or $40.8 per hour.

Medical Management Data Analyst

MetroPlusHealth

Manhattan, NY • On-site

$70K - $80K/yr

Full-time

Re-posted 23 hours ago

Key responsibilities

  • Support monthly HEDIS builds and annual quality reporting submissions to ensure data is accurate, complete, and delivered on time.

  • Monitor and prepare key data inputs, including claims, provider, member, encounter, and supplemental data, ensuring proper delivery to downstream systems and vendors.

  • Perform routine validation of build outputs, investigate data quality issues, and confirm that results align with expected specifications and prior performance.

MetroPlusHealth rating

6.7

Company rating: 6.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

276th of 315 rated insurance

Job description

Empower. Unite. Care.
MetroPlusHealth is committed to empowering New Yorkers by uniting communities through care. We believe that
Health care is a right, not a privilege. If you have compassion and a collaborative spirit, work with us. You can come
to work being proud of what you do every day.
About NYC Health + Hospitals
MetroPlusHealth provides the highest quality healthcare services to residents of Bronx, Brooklyn, Manhattan, Queens and Staten Island through a comprehensive list of products, including, but not limited to, New York State Medicaid Managed Care, Medicare, Child Health Plus, Exchange, Partnership in Care, MetroPlus Gold, Essential Plan, etc. As a wholly-owned subsidiary of NYC Health + Hospitals, the largest public health system in the United States, MetroPlusHealth network includes over 27,000 primary care providers, specialists and participating clinics. For more than 30 years, MetroPlusHealth has been committed to building strong relationships with its members and providers.
Position Overview:
The Medical Management Data Analyst supports Medical Management Analytics with a primary focus on monthly HEDIS builds and annual quality reporting submissions (HEDIS, QARR, PCMH) to NYS DOH and CMS, helping ensure data is accurate, complete, and delivered on time. In support of monthly HEDIS builds, the Analyst monitors and prepares key data inputs, including claims, provider, member, encounter, and supplemental data, ensuring these feeds are complete and properly delivered to downstream systems and vendor processes. The Analyst performs routine validation of build outputs, including measure-level quality checks, investigation of variances, and confirmation that results align with expected specifications and prior
performance. This role also supports quality improvement efforts by handling routine and ad hoc data requests, including measure-specific analyses, and contributing to the development and maintenance of dashboards and reports used to track performance. The Analyst position requires comfort working with both structured and unstructured data and contributing to the setup and refinement of new data sources and pipelines that enhance quality reporting and analytics capabilities.
Work Shifts
9:00 AM - 5:00 PM
Duties & Responsibilities
  • Support monthly HEDIS builds and annual HEDIS, QARR, and PCMH submissions, helping ensure timely, accurate, and complete data for rate production and regulatory reporting.
  • Monitor and prepare key data inputs for monthly builds, including claims, provider, member, encounter, and supplemental data, ensuring completeness and proper delivery to vendor systems.
  • Assist with intake, tracking, and ongoing support of data feeds from providers, vendors, and health information exchanges (HIEs/RHIO), contributing to stable and reliable data pipelines.
  • Perform routine validation checks on HEDIS build outputs and quality measure results, including review of variances, identification of discrepancies, and confirmation against expected benchmarks.
  • Investigate and resolve data quality issues in collaboration with senior analysts and upstream data partners to support accurate reporting.
  • Execute standard queries and data extracts to support monthly production processes, audits, and submission readiness activities.
  • Handle routine and ad hoc data requests in support of quality improvement initiatives, including measure level data pulls, gap analysis, and performance tracking.
  • Contribute to the development, maintenance, and refinement of dashboards and reports used to monitor quality performance and pay for performance programs.
  • Work with structured and unstructured data to support evolving data needs, including assisting with onboarding and validation of new data sources and pipelines.
  • Support documentation, audit readiness, and continuous improvement of data workflows, ensuring consistency, transparency, and alignment with department analytics processes.

Minimum Qualifications
  • Bachelor's degree in information systems, data analytics, or a related field required. Master's preferred.
  • 3 years of experience extracting, manipulating, and analyzing data in a healthcare, public health, or analytics environment.
  • 3 years of experience using analytics and BI tools (e.g., SQL, SAS, R, Python, Power BI, Tableau) to support data analysis and reporting.
  • Ability to interpret and apply technical reporting specifications and measure logic using analytics tools to produce and validate quality reporting outputs.
  • Demonstrated understanding of data quality concepts, with ability to execute data preparation, validation, and reconciliation processes with strong diagnostic rigor, including identifying data anomalies and discrepancies, applying validation rules, and ensuring accuracy of reporting outputs.
  • Ability to collaborate with IT, data vendors, and internal stakeholders, with an understanding of data architecture, data flow, and dependencies across systems supporting quality reporting.

Professional Competencies:
  • Integrity & Trust
  • Customer Focus
  • Functional/Technical Skills
  • Strong written and verbal presentation as well as data analysis skills required.
  • Ability to work independently and multitask to meet deadlines.
  • Position requires individual with high degree of accuracy. Must be able to translate theoretical knowledge into practical application.
  • Displays strong communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills.

#LI-Hybrid #MPH50

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