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Remote Data Analysis Jobs in Florida (NOW HIRING)

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · On-site +1

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · Remote

Be able to translate data analysis into business recommendations WHAT WE WILL TEACH YOU: * Gain ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Fortress Information Security

Data Analyst

Orlando, FL · On-site +1

$89K - $127K/yr

Remote Salary Range: $89,501- $127,186 per year, depending on experience and qualifications ... analysis, and documentation workflows. Minimum Qualifications * 3+ years of experience developing ...

Fortress Information Security

Data Analyst

Orlando, FL · Remote

$89K - $127K/yr

Remote Salary Range: $89,501- $127,186 per year, depending on experience and qualifications ... analysis, and documentation workflows. Minimum Qualifications * 3+ years of experience developing ...

Actionable Outcomes

Data Analyst

Melbourne, FL · Remote

$80K - $120K/yr

Remote, within the United States Annual salary range: $80,000 - $120,000 Relevant experience: 3 years required; 5 years preferred U.S. citizenship required Actionable Outcomes (AO) is seeking a Data ...

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Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Florida? The most popular types of Data Analysis jobs in Florida are:
What are popular job titles related to Remote Data Analysis jobs in Florida? For Remote Data Analysis jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Florida look for? The top searched job categories for Remote Data Analysis jobs in Florida are:
What cities in Florida are hiring for Remote Data Analysis jobs? Cities in Florida with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Florida as of June 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.
Healthcare Data Analyst (Remote Opportunity)

Healthcare Data Analyst (Remote Opportunity)

VetsEZ

Tampa, FL • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 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.

Employment Type: FULL_TIME

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