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Remote Health Data Analyst Jobs (NOW HIRING)

Data Analyst Location : TX/FL/Remote * Minimum 5 yrs experience in Data Analysis work in SQL and NOSQL database Proficiency in Python is plus * Work with the Data Engineering Team to build data ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Public Health data analytics, particularly Birth Defects and Developmental Disabilities ... Surveillance and neonatal abstinence syndrome surveillance * Statistical programming (SAS, R, SQL ...

Overview Goldbelt Professional Services specializes in providing expert resources for Public Health ... The Data Analyst II supports the mission of the Centers for Disease Control and Prevention (CDC ...

Overview Goldbelt Professional Services specializes in providing expert resources for Public Health ... The Data Analyst II supports the mission of the Centers for Disease Control and Prevention (CDC ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

This individual will leverage healthcare data, including medical, pharmacy, provider, and enrollment datasets, to analyze cost drivers, identify savings opportunities, and support strategic decision ...

Posted today

Data Analyst

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0243644 Location: San Diego,CA,US Share job via: Share Data Analyst ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Data Analyst

Roseville, CA · Remote

$59K - $85K/yr

Be part of a team that unleashes the power of leading-edge technologies to help improve the health ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Data Analyst

Denver, CO · On-site +1

Data Analyst Role Summary As a Data Analyst, you will support business decision-making by gathering ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities * Contribute to the development of technical ...

This is a remote role. Candidates must reside in the United States. HOW A HEALTHCARE CLAIMS DATA ANALYST WILL MAKE AN IMPACT: * Working with a multi-disciplinary team of Data Scientists, Business ...

Showing results 41-60

Remote Health Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 12, 2026, the average yearly pay for remote health data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

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

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.
What cities are hiring for Remote Health Data Analyst jobs? Cities with the most Remote Health Data Analyst job openings:
What are the most commonly searched types of Health Data Analyst jobs? The most popular types of Health Data Analyst jobs are:
What states have the most Remote Health Data Analyst jobs? States with the most job openings for Remote Health Data Analyst jobs include:
Infographic showing various Remote Health Data Analyst job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Re-posted 24 days ago


Job description

Data Analyst
Location : TX/FL/Remote
  • Minimum 5 yrs experience in Data Analysis work in SQL and NOSQL database Proficiency in Python is plus
  • Work with the Data Engineering Team to build data pipelines and configure ESP jobs.
  • Support Vendors and Campaign Managers with additional data sets which can enhance campaign design and improve take rates.
  • Work with Technical, business teams for outlining the requirements for data migration.
  • Data Mapping, Classification and create scripts to source and ship data to vendors
  • Candidate must have hands on experience on running SQL Scripts for Descriptive Analysis ,Predictive Analysis
  • Analyze and validate sample data and ensure, data that gets fed into the destination system(s) is usable and help in creating business value
  • Individuals should have excellent technical, communication, organization and presentation skills.