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Remote Data Analyst Jobs in Spring Hill, FL (NOW HIRING)

VetsEZ

Program Analyst (Remote Opportunity)

Tampa, FL · On-site +1

We are currently looking for a Program Analyst (DAWA Support) for a 100% remote position on a large ... This role will support activities related to the Data Collection Workbook Assistive Web Application ...

USAA

Director-HR Data & Analytics

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR If advanced degree in a STEM discipline, 6 or more years' experience in data and analytics ...

Inizio Partners

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of ... Develop internal tools, analytics platforms, and operational dashboards for clinicians ...

USAA

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

USAA

Business Strategy Analyst Senior

Tampa, FL · On-site +1

$108K - $207K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

USAA

Business Strategy Analyst - Mid Level

Tampa, FL · On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

USAA

Business Strategy Analyst Senior

Tampa, FL · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

USAA

Business Strategy Analyst Mid-Level

Tampa, FL · On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

USAA

Business Strategy Analyst - Mid Level

Tampa, FL · On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

Breakthru

Revenue Analyst

Tampa, FL · On-site +1

$60K - $80K/yr

Time Type: Full time Remote Type: Job Family Group: Finance Summary: The primary purpose of the ... Provide Data, Reporting, & Analysis to assist revenue managers in making Pricing Strategy ...

New

ClinDCast LLC

Epic orders Analyst

Wesley Chapel, FL · Remote

It is a 100% remote opportunity. For this role you must have a passion for healthcare data and ... Analyze and assess existing order workflows and identify opportunities for improvement. Work ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Spring Hill, FL

Remote Data Analyst information

See Spring Hill, FL salary details

$28.8K

$70.1K

$115.4K

How much do remote data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data analyst in Spring Hill, FL is $70,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $82,300.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Spring Hill, FL? The most popular types of Data Analyst jobs in Spring Hill, FL are:
What job categories do people searching Remote Data Analyst jobs in Spring Hill, FL look for? The top searched job categories for Remote Data Analyst jobs in Spring Hill, FL are:
What cities near Spring Hill, FL are hiring for Remote Data Analyst jobs? Cities near Spring Hill, FL with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Spring Hill, FL as of July 2026, with employment types broken down into 4% Internship, 88% Full Time, 4% Temporary, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,111 per year, or $33.7 per hour.
Healthcare Interoperability Analyst (Remote Opportunity)

Healthcare Interoperability Analyst (Remote Opportunity)

VetsEZ

Tampa, FL • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 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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