VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability ... Remote opportunity Qualified applicants will receive consideration for employment without regard to ...
VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability ... Remote opportunity Qualified applicants will receive consideration for employment without regard to ...
VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability ... Remote opportunity Qualified applicants will receive consideration for employment without regard to ...
VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability ... Remote opportunity Qualified applicants will receive consideration for employment without regard to ...
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Remote Data Analyst information
See Spring Hill, FL salary details
$28.8K - $36.7K
4% of jobs
$36.7K - $44.6K
7% of jobs
$44.6K - $52.4K
13% of jobs
$52.9K is the 25th percentile. Wages below this are outliers.
$52.4K - $60.3K
18% of jobs
The median wage is $64K / yr.
$60.3K - $68.2K
16% of jobs
$68.2K - $76K
13% of jobs
$79K is the 75th percentile. Wages above this are outliers.
$76K - $83.9K
9% of jobs
$83.9K - $91.8K
5% of jobs
$91.8K - $99.6K
9% of jobs
$99.6K - $107.5K
3% of jobs
$107.5K - $115.4K
2% of jobs
$28.8K
$70.1K
$115.4K
How much do remote data analyst jobs pay per year?
Is there a high demand for data analysts?
What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?
Can I do a data analyst job remotely?
Is 40 too late for data science?
How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?
What does a Remote Data Analyst do?
What is the difference between Remote Data Analyst vs Remote Data Scientist?
| Aspect | Remote Data Analyst | Remote Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or Tableau | Bachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning |
| Work Environment | Primarily office-based or remote, focusing on data analysis and reporting | Primarily remote, involving complex data modeling and predictive analytics |
| Employer & Industry Usage | Used across finance, marketing, healthcare, and retail sectors | Common 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?
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.

Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 4 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_TIMEAbout VetsEZ
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
San Diego, CA, US
Year founded
2012