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Internship Remote Health Data Analyst Jobs in Florida

Senior Fraud Data Analyst

Tampa, FL · 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 ...

This is a remote role with up to 20% travel. This job posting is anticipated to close on 08/01/2026 ... Excellent healthcare including medical, dental, vision and prescription coverage * Short ...

The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit ... Remote * 401(k) plan * Insurance - Health, Dental and Vision * Paid Time Off Ready to join? We ...

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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 ...

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Internship Remote Health Data Analyst information

What types of projects or datasets might I work with as a remote health data analyst intern?

As a remote health data analyst intern, you may work on projects involving electronic health records, clinical trial data, or public health datasets. These projects often include tasks such as cleaning and organizing raw data, performing statistical analyses, and creating visualizations to uncover trends or insights. You’ll likely collaborate with other data analysts, healthcare professionals, and IT staff to ensure data quality and relevance. This experience provides an excellent opportunity to apply academic knowledge to real-world health challenges and build valuable technical and teamwork skills.

What is the difference between Internship Remote Health Data Analyst vs Remote Health Data Coordinator?

AspectInternship Remote Health Data AnalystRemote Health Data Coordinator
CredentialsTypically pursuing or recent graduate in health informatics, data science, or related fieldsUsually requires experience in data management, health information systems, or related certifications
Work EnvironmentRemote internship, often part-time, supervised by professionalsRemote or hybrid, responsible for data organization and quality control
Employer & Industry UsageHospitals, healthcare providers, research institutionsHealthcare organizations, clinics, health IT companies

The main difference is that an Internship Remote Health Data Analyst is an entry-level, temporary position focused on learning and supporting data analysis tasks, while a Remote Health Data Coordinator handles ongoing data management and quality assurance responsibilities in a healthcare setting.

What are the key skills and qualifications needed to thrive as a remote health data analyst intern, and why are they important?

To thrive as an Internship Remote Health Data Analyst, you need foundational skills in data analysis, statistics, and familiarity with healthcare terminology, often supported by coursework in public health, informatics, or a related field. Proficiency with analytical tools like Excel, SQL, Python, or data visualization platforms, as well as experience using electronic health record (EHR) systems, is typically required. Strong attention to detail, problem-solving abilities, and clear communication skills help interns interpret data accurately and share insights with teams. These skills are crucial for ensuring data-driven decision-making and supporting healthcare organizations in improving patient outcomes.

What is a remote health data analyst internship?

A remote health data analyst internship is a temporary, often entry-level position where interns work from a remote location to analyze healthcare-related data. Interns in this role typically assist in collecting, cleaning, and interpreting health data to support research, policy decisions, or healthcare operations. The position provides hands-on experience with data analysis tools and methodologies specific to the healthcare industry, such as electronic health records, medical claims, and public health data. This internship is ideal for students or recent graduates interested in combining data analytics with healthcare. Remote internships offer flexibility and the opportunity to work with organizations regardless of geographic location.
What job categories do people searching Internship Remote Health Data Analyst jobs in Florida look for? The top searched job categories for Internship Remote Health Data Analyst jobs in Florida are:
What cities in Florida are hiring for Internship Remote Health Data Analyst jobs? Cities in Florida with the most Internship Remote Health Data Analyst job openings:

Healthcare Interoperability Analyst (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 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:
  • 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.