Healthcare Data Analyst Jobs in USA with Visa Sponsorship
Healthcare data analysts are strong H-1B sponsorship candidates. The role qualifies as a specialty occupation requiring a degree in health informatics, statistics, or a related field, and demand from hospital systems, insurers, and health tech companies keeps sponsorship activity high. For detailed occupation requirements, see the O*NET profile.
See All Healthcare Data Analyst JobsOverview
Showing 5 of 549+ Healthcare Data Analyst jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 549+ Healthcare Data Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Healthcare Data Analyst roles.
Get Access To All JobsINTRODUCTION
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
We’re seeking a skilled Senior Data Analyst to join our team!
Join our Data Engineering team and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.
Does this sound like the right opportunity to explore?... Let's connect!
What You’ll Do
- Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
- Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
- Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
- Document data transformation logic and lineage to ensure transparency and reusability.
- Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
- Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
- Partner with data engineers to build and scale data pipelines, improving performance and reliability.
- Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
- Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
- Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.
What You Bring
- Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
- 6+ years of experience as a data analyst or business analyst working with large datasets.
- 6+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
- Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be a bonus.
- Solid understanding of data modeling concepts and best practices for analytics.
- Proven problem-solving skills and attention to detail in complex data environments.
- Strong organizational skills and ability to manage multiple concurrent initiatives.
- Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
- Self-starter with a strong sense of ownership and accountability.
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- Full Medical/Dental/Vision for employees & their families.
- Flexible and trusting environment where you’ll feel empowered to do your best work.
- Unlimited FTO.
- Competitive salary, equity, 401(k) including employer match.
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $140k-$170k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
INTRODUCTION
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
We’re seeking a skilled Senior Data Analyst to join our team!
Join our Data Engineering team and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.
Does this sound like the right opportunity to explore?... Let's connect!
What You’ll Do
- Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
- Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
- Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
- Document data transformation logic and lineage to ensure transparency and reusability.
- Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
- Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
- Partner with data engineers to build and scale data pipelines, improving performance and reliability.
- Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
- Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
- Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.
What You Bring
- Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
- 6+ years of experience as a data analyst or business analyst working with large datasets.
- 6+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
- Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be a bonus.
- Solid understanding of data modeling concepts and best practices for analytics.
- Proven problem-solving skills and attention to detail in complex data environments.
- Strong organizational skills and ability to manage multiple concurrent initiatives.
- Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
- Self-starter with a strong sense of ownership and accountability.
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- Full Medical/Dental/Vision for employees & their families.
- Flexible and trusting environment where you’ll feel empowered to do your best work.
- Unlimited FTO.
- Competitive salary, equity, 401(k) including employer match.
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $140k-$170k. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
How to Get Visa Sponsorship as a Healthcare Data Analyst
Target hospital systems and health insurers first
Large hospital networks and major health insurers file H-1B petitions regularly and have established immigration programs. These employers are far more likely to sponsor than smaller clinical practices or independent health IT consultancies with no prior sponsorship history.
Align your degree field to the job description
H-1B approval for this role depends on demonstrating a specialty occupation. Degrees in health informatics, biostatistics, epidemiology, or computer science strengthen your case. A general business or unrelated degree creates risk even if you have years of relevant experience.
Get comfortable with EHR platforms before applying
Employers sponsoring healthcare data analysts almost always require hands-on experience with Epic, Cerner, or similar electronic health record systems. Demonstrable EHR proficiency makes you significantly more competitive and reduces employer hesitation about sponsorship costs.
Highlight compliance and regulatory knowledge
Healthcare data roles involve HIPAA compliance and sometimes FDA or CMS reporting requirements. Candidates who understand these regulatory frameworks are harder to replace domestically, which strengthens the employer's business case for pursuing H-1B sponsorship on your behalf.
Understand the H-1B cap lottery timing
Most healthcare data analyst roles are cap-subject, meaning you must enter the H-1B lottery in March for an October start date. Plan your job search accordingly so you have an offer in place well before registration opens each year.
Cap-exempt employers can skip the lottery entirely
Hospitals affiliated with universities, nonprofit research institutions, and academic medical centers are often cap-exempt. If you're hired by a qualifying employer, your H-1B petition can be filed and approved at any time of year without waiting for the annual lottery.
Healthcare Data Analyst jobs are hiring across the US. Find yours.
Find Healthcare Data Analyst JobsSee all 549+ Healthcare Data Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Healthcare Data Analyst roles.
Get Access To All JobsFrequently Asked Questions
Does a healthcare data analyst role qualify for H-1B sponsorship?
Yes, healthcare data analyst positions generally qualify as H-1B specialty occupations because they require at least a bachelor's degree in a specific field such as health informatics, statistics, epidemiology, or computer science. Roles that require any bachelor's degree regardless of field are more likely to face an H-1B denial, so the job description and your degree both matter.
Which employers are most likely to sponsor H-1B visas for healthcare data analysts?
Large hospital systems, academic medical centers, major health insurers, and health technology companies are the most active sponsors for this role. These organizations process enough data volume to justify dedicated analyst headcount and typically have in-house or outside immigration counsel to manage petitions. You can filter for sponsorship-ready employers directly on Migrate Mate.
Can I use OPT or STEM OPT as a healthcare data analyst while waiting for H-1B?
Yes. If you graduated from a U.S. university with a qualifying STEM degree such as health informatics, biostatistics, or computer science, you're eligible for 24 months of STEM OPT extension on top of your standard 12-month OPT, giving you up to three years of work authorization. This window covers two H-1B lottery cycles, which meaningfully improves your odds of selection.
What H-1B approval rates look like for healthcare data analyst petitions?
Approval rates for data analyst roles in healthcare have historically been above 80% when the petition is well-documented and the degree aligns with the position. Denials most commonly stem from USCIS challenging whether the role meets the specialty occupation standard, which happens when job descriptions are vague or the required degree field is too broad. Working with an experienced immigration attorney reduces this risk substantially.
Do I need a U.S. degree to get sponsored as a healthcare data analyst?
No, a foreign degree is acceptable as long as it's evaluated as equivalent to a U.S. bachelor's degree in a relevant field. A three-year bachelor's degree from certain countries may require supplementary coursework or additional credentials to be accepted as equivalent. Your employer's immigration attorney will typically arrange a credential evaluation through a recognized service as part of the H-1B filing process.
What is the prevailing wage requirement for sponsored Healthcare Data Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which Healthcare Data Analyst employers are hiring and sponsoring visas right now.
Search Healthcare Data Analyst Jobs