Remote Healthcare Analyst Jobs
Remote Healthcare Analyst jobs are in steady demand across the U.S., with remote-first firms, distributed health-tech teams, and large payers actively hiring. Employers posting remote roles right now include CVS Health, Cognizant, and Glint Tech Solutions, covering sectors from managed care to health IT and population health. Find a role that fits below and apply directly.
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Showing 5 of 78+ Remote Healthcare Analyst jobs
Data Analytics
Python for Data Analysis
Statistical Analysis
REQ#: RQ225764
Public Trust: None
Requisition Type: Regular
Your Impact
Own your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.
Job Description
At GDIT, people are our differentiator. Our work depends on a Data Analyst joining our team to support Centers for Medicare and Medicaid Services anti-fraud activities.
As a Data Analyst supporting the Healthcare Fraud Prevention Partnership (HFPP), you will develop fraud, waste and abuse (FWA) analytics from concept to finished product at the Trusted Third Party (TTP), working against a multi-billion record claims warehouse assembled from dozens of public and private healthcare payers. HFPP Partners and the client bring the questions. You turn them into analytics that identify aberrant billing and hold up to scrutiny. You will engage with healthcare claims and FWA analytics working alongside experienced Subject Matter Experts, and you do need to be genuinely strong with data.
***Work visa sponsorship will not be provided for this position. 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 Intelligence Developers and FWA Subject Matter Experts. Our team is 100% remote and distributed throughout the country.
Translating Partner and client requests into specifiable analytic questions, including determining what can and cannot be answered with the data available and raising that early rather than late.
Developing FWA analytics end to end, building the analytic logic in SQL and Python against billions of claim records, testing it, and refining it in collaboration with FWA Subject Matter Experts until it identifies something real.
Separating genuine aberrancy from patterns fully explained by legitimate clinical practice, coverage policy or claim edits, recognizing that the mundane explanation is usually the correct one and that finding it before a Partner does is part of the work.
Documenting methodology, assumptions and data lineage so that each analytic can be reproduced and incorporated into the TTP analytic suite by another team without the original analyst present.
Documenting findings and present results to internal stakeholders, and will participate in Partner discussions to clarify analytic requirements.
Managing several concurrent requests against firm deadlines within a queue driven by Partner and client demand.
WHAT YOU'LL NEED TO SUCCEED:
Bachelor's degree in a quantitative or health-related field, or equivalent hands-on experience.
4+ years writing SQL against large relational data, including CTEs, window functions and multi-table joins at scale, with enough performance awareness to understand why a query is slow.
Working proficiency in Python for data analysis, producing clean and reproducible analysis code (pandas or equivalent).
Demonstrated ability to turn an ambiguous request into a defined analytic question, including recognizing when a question cannot be answered with the data at hand.
Experience documenting analytic work such that another person can reproduce it, and evidence of having come up to speed quickly in an unfamiliar data domain.
Ability to explain analytic results clearly, in writing and in conversation, to audiences who are not analysts.
Accuracy, attention to detail and the organizational discipline to carry several concurrent requests without dropping any.
US citizen or Permanent Resident
Must be able to obtain/maintain Public Trust
DESIRED QUALIFICATIONS:
Experience with healthcare claims data (Medicare, Medicaid or commercial) and healthcare coding systems (e.g., ICD-10, CPT, HCPCS, DRG).
Exposure to fraud, waste and abuse, program integrity, payment integrity or utilization review work.
Experience with Snowflake and SnowSQL, or a comparable cloud data warehouse.
Version control (Git) and collaborative code review practices.
Familiarity with payer coverage policy (LCDs, NCDs, private carrier medical policies) and common industry claim edits (e.g., NCCI).
Experience using Tableau or other data visualization software.
WHAT GDIT CAN OFFER YOU:
The GDIT HFPP Trusted Third Party is the only data warehouse of its type anywhere, bringing many billions of healthcare claims from dozens of public and private payers together solely for fraud, waste and abuse analytics. The cross-payer visibility it provides exists nowhere else.
Direct daily working contact with FWA Subject Matter Experts, Business Intelligence Developers and Data Scientists on a small, fully remote, multi-disciplinary team where analytic work reaches the people who act on it.
Competitive pay and benefits, flexible work schedule, collaborative inter-disciplinary environment where the best idea wins.
Work Requirements
4 + years of related experience
- may vary based on technical training, certification(s), or degree
Less than 10%
Salary and Benefit Information
The likely salary range for this position is $76,500 - $103,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our Identity Verification Process
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.
About Our Work
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Data Analytics
Python for Data Analysis
Statistical Analysis
REQ#: RQ225764
Public Trust: None
Requisition Type: Regular
Your Impact
Own your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.
Job Description
At GDIT, people are our differentiator. Our work depends on a Data Analyst joining our team to support Centers for Medicare and Medicaid Services anti-fraud activities.
As a Data Analyst supporting the Healthcare Fraud Prevention Partnership (HFPP), you will develop fraud, waste and abuse (FWA) analytics from concept to finished product at the Trusted Third Party (TTP), working against a multi-billion record claims warehouse assembled from dozens of public and private healthcare payers. HFPP Partners and the client bring the questions. You turn them into analytics that identify aberrant billing and hold up to scrutiny. You will engage with healthcare claims and FWA analytics working alongside experienced Subject Matter Experts, and you do need to be genuinely strong with data.
***Work visa sponsorship will not be provided for this position. 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 Intelligence Developers and FWA Subject Matter Experts. Our team is 100% remote and distributed throughout the country.
Translating Partner and client requests into specifiable analytic questions, including determining what can and cannot be answered with the data available and raising that early rather than late.
Developing FWA analytics end to end, building the analytic logic in SQL and Python against billions of claim records, testing it, and refining it in collaboration with FWA Subject Matter Experts until it identifies something real.
Separating genuine aberrancy from patterns fully explained by legitimate clinical practice, coverage policy or claim edits, recognizing that the mundane explanation is usually the correct one and that finding it before a Partner does is part of the work.
Documenting methodology, assumptions and data lineage so that each analytic can be reproduced and incorporated into the TTP analytic suite by another team without the original analyst present.
Documenting findings and present results to internal stakeholders, and will participate in Partner discussions to clarify analytic requirements.
Managing several concurrent requests against firm deadlines within a queue driven by Partner and client demand.
WHAT YOU'LL NEED TO SUCCEED:
Bachelor's degree in a quantitative or health-related field, or equivalent hands-on experience.
4+ years writing SQL against large relational data, including CTEs, window functions and multi-table joins at scale, with enough performance awareness to understand why a query is slow.
Working proficiency in Python for data analysis, producing clean and reproducible analysis code (pandas or equivalent).
Demonstrated ability to turn an ambiguous request into a defined analytic question, including recognizing when a question cannot be answered with the data at hand.
Experience documenting analytic work such that another person can reproduce it, and evidence of having come up to speed quickly in an unfamiliar data domain.
Ability to explain analytic results clearly, in writing and in conversation, to audiences who are not analysts.
Accuracy, attention to detail and the organizational discipline to carry several concurrent requests without dropping any.
US citizen or Permanent Resident
Must be able to obtain/maintain Public Trust
DESIRED QUALIFICATIONS:
Experience with healthcare claims data (Medicare, Medicaid or commercial) and healthcare coding systems (e.g., ICD-10, CPT, HCPCS, DRG).
Exposure to fraud, waste and abuse, program integrity, payment integrity or utilization review work.
Experience with Snowflake and SnowSQL, or a comparable cloud data warehouse.
Version control (Git) and collaborative code review practices.
Familiarity with payer coverage policy (LCDs, NCDs, private carrier medical policies) and common industry claim edits (e.g., NCCI).
Experience using Tableau or other data visualization software.
WHAT GDIT CAN OFFER YOU:
The GDIT HFPP Trusted Third Party is the only data warehouse of its type anywhere, bringing many billions of healthcare claims from dozens of public and private payers together solely for fraud, waste and abuse analytics. The cross-payer visibility it provides exists nowhere else.
Direct daily working contact with FWA Subject Matter Experts, Business Intelligence Developers and Data Scientists on a small, fully remote, multi-disciplinary team where analytic work reaches the people who act on it.
Competitive pay and benefits, flexible work schedule, collaborative inter-disciplinary environment where the best idea wins.
Work Requirements
4 + years of related experience
- may vary based on technical training, certification(s), or degree
Less than 10%
Salary and Benefit Information
The likely salary range for this position is $76,500 - $103,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our Identity Verification Process
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.
About Our Work
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
See All 78 Remote Healthcare Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Healthcare Analyst Job Market
Who's Hiring
- CVS Health51
- Cognizant5
- Glint Tech Solutions2
- Gainwell Technologies2
- General Dynamics Information Technology2
Top Industries Hiring
- Insurance35
- Technology & Software3
- Healthcare & Medical Services3
What Employers Look For
The qualifications that appear most often in remote healthcare analyst jobs.
- Bachelor's degree in health informatics, public health, statistics, or a related field
- Proficiency in SQL for querying clinical or claims databases
- Experience with data visualization tools such as Tableau or Power BI
- Familiarity with healthcare data systems including EHR platforms and ICD coding
- One to three years of experience in a healthcare or managed care setting
- Knowledge of HIPAA data privacy requirements and healthcare compliance standards
Tips for Your Remote Healthcare Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote healthcare analyst openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Prove async communication in your application
Remote healthcare analyst teams share findings through written reports, dashboards, and recorded walkthroughs, not hallway conversations. Include a writing sample, a documented analysis, or a short Loom-style walkthrough in your application materials to show you communicate findings clearly without a live audience.
Highlight remote-ready technical tools explicitly
Call out the specific platforms you use in a distributed environment: SQL for querying claims databases, Tableau or Power BI for shareable dashboards, and JIRA or Confluence for async project tracking. Remote employers scan for these by name, not just for general 'data analysis' skills.
Build a portfolio using public healthcare datasets
Publicly available datasets from CMS or state health departments let you create real analyses to share with hiring managers. A GitHub repository or a published dashboard showing how you cleaned, analyzed, and visualized healthcare data signals both technical ability and the self-direction remote roles demand.
Remote Healthcare Analyst Jobs: Frequently Asked Questions
How do I get a remote healthcare analyst job?
Target companies with distributed teams: health-tech startups, managed care organizations, and consulting firms that operate across multiple time zones and rely on remote analysts daily. Remote employers screen hard for self-direction, clear written communication, and proficiency in tools like SQL, Tableau, or Power BI, since you'll often present findings asynchronously. A portfolio of past analyses or a public GitHub with healthcare datasets gives you a concrete edge over candidates who list skills without evidence.
Which companies hire remote healthcare analysts?
Remote healthcare analyst roles are posted by CVS Health, Cognizant, and Glint Tech Solutions and others right now, based on current remote listings on Migrate Mate as of August 2026. These include remote-first health-tech firms, large payers, and distributed consulting teams operating across the U.S. in sectors like managed care, pharmacy benefits, and population health.
Can you get a remote healthcare analyst job with no experience?
Yes, but remote entry-level healthcare analyst roles are harder to land because employers expect you to work independently from day one without in-person support. Health-tech startups and smaller consulting firms are more likely to hire entry-level candidates remotely. Showing a capstone project, a personal analysis of publicly available claims data, or a certification in healthcare informatics can substitute for formal experience and open the door.
Do you need a degree for remote healthcare analyst jobs?
Not always. Many remote employers list a degree in health informatics, public health, or a related field as preferred rather than required. What consistently matters is demonstrated ability to work with healthcare data, whether through formal education, certifications like RHIA or CPHIMS, or a portfolio of real analytical work. Remote roles put added weight on your ability to communicate findings clearly in writing, which you can show regardless of your educational background.
Which industries hire the most remote healthcare analysts?
Remote healthcare analyst roles concentrate in Insurance, Technology & Software, and Healthcare & Medical Services, based on current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed analyst teams to process claims data, track outcomes, and support compliance across locations without requiring on-site presence.
See All 78 Remote Healthcare Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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