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Remote Health Data Analyst Jobs in Florida (NOW HIRING)

Senior Fraud Data Analyst

Tampa, FL ยท Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health ...

Global Marketing Data Analyst

Largo, FL ยท Remote

$85K - $148K/yr

... remote role with up to 20% travel. This role is not eligible for sponsorship. This job posting is ... Excellent healthcare including medical, dental, vision and prescription coverage * Short ...

Join us, and be part of a company that transforms data into meaningful outcomes - ensuring that patients get on therapy, stay on therapy, and achieve better health. As a Data Insight Analyst , you'll ...

Analyst, Senior Data

Lakeland, FL ยท On-site +1

$79K - $100K/yr

The Contact Center Analytics & Solutions team is looking for highly motivated Sr. Data Analyst who will be responsible for leveraging analytics to drive key performance metrics, identify operational ...

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Remote Health Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do remote health data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote health data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What Does a Remote Health Data Analyst Do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What is a Remote Health Data Analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

How does a Remote Health Data Analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

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

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.
What are the most commonly searched types of Health Data Analyst jobs in Florida? The most popular types of Health Data Analyst jobs in Florida are:
What are popular job titles related to Remote Health Data Analyst jobs in Florida? For Remote Health Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Health Data Analyst jobs in Florida look for? The top searched job categories for Remote Health Data Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Health Data Analyst jobs? Cities in Florida with the most Remote Health Data Analyst job openings:
Infographic showing various Remote Health Data Analyst job openings in Florida as of July 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.
Healthcare Interoperability Analyst (Remote Opportunity)

Healthcare Interoperability Analyst (Remote Opportunity)

VetsEZ

Tampa, FL โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 hours ago


Job description

VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability program. In this role, you will analyze healthcare data, support data mapping and validation, and help translate operational and reporting needs into actionable insights for delivery teams and stakeholders. You will work across structured data, interoperability workflows, and reporting requirements in support of mission outcomes.

The candidate must reside within the continental US.

Responsibilities:

  • Analyze healthcare and operational data to support reporting, validation, troubleshooting, and decision-making.
  • Support data mapping, data quality review, and reconciliation across internal and external systems.
  • Collaborate with business and technical teams to define data requirements, reporting needs, and analytical outputs.
  • Create queries, reports, dashboards, and data summaries to support program visibility and operational insights.
  • Assist with validating data transformations, interface outputs, and data exchange results.
  • Document data definitions, rules, assumptions, and quality considerations.
  • Identify trends, anomalies, and issues in data sets and communicate findings clearly to stakeholders.
  • Support user acceptance, defect triage, and testing activities where data validation is required.
  • Work closely with product, engineering, and QA teams to ensure data integrity across releases and workflows.
  • Help maintain repeatable analysis approaches and reporting processes.

Requirements:

  • A minimum of 5 years of experience in data analysis, reporting, business intelligence, or related roles.
  • Strong SQL skills and experience working with relational data sources.
  • Exposure to FHIR, HL7, CCDA, or healthcare data integration workflows.
  • Experience analyzing healthcare, operational, or enterprise data in complex environments.
  • Ability to interpret business needs and convert them into analytical deliverables.
  • Experience with data quality review, reconciliation, and validation practices.
  • Strong written and verbal communication skills for technical and business audiences.
  • Experience using reporting, dashboard, or data visualization tools.
  • Strong attention to detail and ability to work across multiple priorities.
  • Bachelor's degree in Data Analytics, Information Systems, Public Health, Mathematics, or a related field, or equivalent experience.
  • Ability to obtain a Government clearance.

Additional Qualifications:

  • Experience with Department of Veterans Affairs, federal data programs, or healthcare reporting environments is preferred.
  • Familiarity with healthcare data models, interoperability standards, or clinical data exchange is a plus.
  • Experience supporting Agile teams, testing activities, or requirements analysis is desirable.
  • Experience with BI tools, Python, or advanced analytics approaches is desirable.

Benefits:

  • Medical/Dental/Vision
  • 401k with Matching
  • Corporate Laptop
  • PTO + Federal Holidays
  • Training opportunities
  • Remote opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME