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Remote Healthcare Data Analyst Jobs in Florida (NOW HIRING)

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Remote Healthcare Data Analyst information

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$25.4K

$61.8K

$101.6K

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

As of Aug 14, 2026, the average yearly pay for remote healthcare 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 healthcare data analyst do?

A Remote Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work from a remote location, using data analytics tools to interpret trends, identify patterns, and generate reports that support healthcare providers, insurance companies, or government agencies. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Strong analytical, technical, and communication skills are essential for this role.

How does a remote healthcare data analyst typically collaborate with clinical teams, and what tools are commonly used for effective remote communication?

Remote Healthcare Data Analysts frequently work with clinical teams to interpret data trends and support decision-making. Collaboration usually happens through virtual meetings, secure messaging platforms, and shared dashboards. Tools like Microsoft Teams, Slack, and HIPAA-compliant data sharing systems are commonly used to ensure secure and efficient communication. Building strong relationships and maintaining clear, consistent updates are key to overcoming the challenges of remote work and ensuring seamless teamwork.

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

To thrive as a Remote Healthcare Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and a degree in health informatics, statistics, or a related field. Experience with data analysis tools like SQL, Python, Excel, and familiarity with healthcare databases and HIPAA compliance are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for presenting insights and collaborating remotely. These skills ensure accurate data interpretation, support evidence-based decisions, and facilitate secure, efficient operations in a virtual healthcare environment.

Is it possible to get a remote job as a healthcare data analyst?

Yes, remote healthcare data analyst positions are available and increasingly common, often requiring skills in data analysis tools like SQL, Excel, and statistical software, as well as knowledge of healthcare data systems. Many employers offer remote work options, especially for experienced analysts with relevant certifications and strong communication skills.

Can a remote healthcare data analyst work in healthcare?

A remote healthcare data analyst works within the healthcare industry by analyzing medical data, patient records, and healthcare trends to support decision-making. They often use tools like SQL, Excel, and data visualization software and may need relevant certifications or knowledge of healthcare regulations such as HIPAA. Their role is essential for improving healthcare outcomes and operational efficiency remotely.

Can remote healthcare data analysts work from home?

Remote healthcare data analysts can often work from home, as their tasks primarily involve analyzing digital health records, using data analysis tools, and communicating findings virtually. Many employers offer flexible or fully remote positions, especially for those with skills in SQL, Excel, and data visualization software. However, some roles may require occasional on-site visits or collaboration with healthcare teams.

Is there a demand for remote healthcare data analysts?

The demand for remote healthcare data analysts is growing due to increased reliance on digital health records, data-driven decision making, and telehealth services. Employers in healthcare organizations, insurance companies, and research institutions seek professionals skilled in data analysis, often requiring proficiency in tools like SQL, Excel, and data visualization software. This trend is expected to continue as healthcare increasingly adopts remote and technology-based solutions.

What are the most commonly searched types of Healthcare Data Analyst jobs in Florida?

The most popular types of Healthcare Data Analyst jobs in Florida are:

What are popular job titles related to Remote Healthcare Data Analyst jobs in Florida?

For Remote Healthcare Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Analyst jobs in Florida look for?

The top searched job categories for Remote Healthcare Data Analyst jobs in Florida are:

What cities in Florida are hiring for Remote Healthcare Data Analyst jobs?

Cities in Florida with the most Remote Healthcare Data Analyst job openings:

Remote Healthcare Data Analyst jobs near you
Infographic showing various Remote Healthcare Data Analyst job openings in Florida as of August 2026, with employment types broken down into 63% Full Time, 21% Part Time, and 16% 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)

VetsEZ

Tampa, FL • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days 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

  • Bachelor's degree in Data Analytics, Information Systems, Public Health, Mathematics, or a related field, or equivalent experience.
  • 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.

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.

Security Clearance Requirements

  • U.S. Citizenship is required.
  • Ability to obtain and maintain a Government/Public Trust clearance, if required for the position.
  • Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process, if required for the position.

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

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