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  1. Home
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  3. ›Healthcare Data Analyst
‹ Remote Jobs

Remote Healthcare Data Analyst jobs in the United States

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  • Sun
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      Sarah Jenkins

    • 2:30 PM - 3:00 PM

      Initial Interview

      Alex Chen

  • Mon
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      David G. (Hiring Manager)

    • 4:15 PM - 5:15 PM

      First Round Interview

      Sophie L.

  • Tue
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      Introductory Interview

      Marta W.

    • 2:30 PM - 3:00 PM

      Kick-off Interview

      Daria (HR)

  • Wed
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      Qualifying Interview

      James Miller

    • 5:30 PM - 6:00 PM

      Discovery Interview

      Chris V.

  • Thu
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Aug 23, 2025

Remote Healthcare Data Analyst Jobs — Now Hiring Across the USA

Organizations across the USA are rapidly expanding their analytics teams, creating strong demand for healthcare data analyst remote jobs. With 500+ open positions available, this opportunity allows professionals to support evidence-based decision-making in hospitals, insurance companies, and health-tech firms. Remote work arrangements make it easier than ever to connect skilled analysts with employers nationwide.

Successful candidates typically bring strong proficiency in SQL, Excel, and visualization tools like Tableau or Power BI, paired with solid knowledge of clinical data standards such as HIPAA compliance, electronic health records, and claims information. Analytical thinking and the ability to translate complex datasets into actionable insights are essential, along with familiarity with statistical methods that make a candidate an attractive hire for organizations seeking healthcare data analyst vacancies.

Remote roles in this field have become increasingly common as health systems embrace digital transformation and distributed teams. Employers across the USA now offer flexible schedules and virtual collaboration tools, allowing analysts to work from anywhere while supporting critical industry initiatives. The growing emphasis on value-based care and population health management continues to drive demand, making this a promising time to pursue healthcare data analyst positions in a competitive, evolving market.

If you're ready to advance your career, now is the time to explore new opportunities through Global Work AI. Employers eager to hire a healthcare data analyst are actively reviewing applications, with new remote roles added regularly. Discover how your analytical skills can make a lasting impact on health outcomes nationwide.

Frequently Asked
Questions

Everything you need to know about
finding your next role
  • What is the average salary for a healthcare data analyst in the USA?

    In the USA, compensation for a healthcare data analyst commonly falls around $70,000 to $95,000 a year, with higher offers in large systems, insurance firms, and specialized analytics teams. Pay can move upward with experience in quality reporting, revenue cycle metrics, or value-based care, and some remote roles include bonus eligibility. Market rates also vary by employer size and urgency, so it helps to compare current listings against similar analyst positions before judging an offer.
  • What skills and qualifications are required for a healthcare data analyst role?

    Employers usually look for a bachelor’s degree in health informatics, statistics, computer science, public health, or a related field, plus practical experience turning data into clear business insights. Strong analytical thinking, data cleansing, reporting, and familiarity with healthcare terminology are common expectations for a healthcare data analyst. Communication matters too, since findings often support clinical, operational, or finance teams. Certifications in analytics or healthcare administration can strengthen a profile, especially for remote roles in the USA, where competition is broad.
  • What does a healthcare data analyst do on a day-to-day basis?

    A typical day often includes pulling datasets, validating data quality, building dashboards, and translating trends into usable recommendations for care teams or business leaders. The work may involve tracking patient outcomes, claims patterns, utilization, reimbursement, or quality measures tied to U.S. healthcare programs. In a remote setting, much of the role happens through collaboration tools, scheduled check-ins, and shared reporting environments. Reviewing priorities from different departments can give a clearer sense of how the position supports decisions across the organization.
  • Is SQL, Python, or Excel required for a remote healthcare data analyst job?

    Most remote openings in the USA expect at least one of these tools, and many prefer all three at different levels. SQL is often essential for querying clinical and claims databases, Excel remains useful for quick analysis and reconciliations, and Python is valuable for automation, modeling, or larger-scale data work. The exact mix depends on the employer and the reporting stack, so job descriptions are worth comparing closely. Reviewing a few current postings can show which skills are nonnegotiable versus preferred.
  • What healthcare data systems, EHR platforms, or claims data should a healthcare data analyst know?

    Familiarity with major EHR and claims environments can make a strong difference, especially in U.S. healthcare organizations that depend on integrated reporting. Common names include Epic, Cerner/Oracle Health, Meditech, Allscripts, and claims sources tied to payers, CMS, or clearinghouses. A healthcare data analyst should also understand ICD-10, CPT, HCPCS, and basic payer terminology, since these codes shape most reports. Experience with data warehouses or BI tools helps as well, and it is useful to compare which platforms each employer lists most often.
  • How is the remote hiring process for a healthcare data analyst usually structured?

    Remote hiring in the USA usually starts with an application review, followed by recruiter screening, then one or more interviews with analytics, operations, or hiring managers. Many employers include a technical task, such as a sample report, dashboard review, or SQL exercise, to check practical ability. Final rounds may focus on healthcare knowledge, communication, and comfort working across time zones. Because remote teams rely on self-management, candidates often want to prepare examples that show independent problem-solving and collaboration before the process begins.
  • What career growth opportunities are there for a healthcare data analyst in healthcare?

    A healthcare data analyst can grow into senior analytics, BI, population health, quality improvement, informatics, or data engineering paths, depending on interests and technical depth. In the USA, experienced professionals may move toward manager, director, or strategy roles in hospitals, insurers, vendors, or consulting firms. Some later specialize in risk adjustment, clinical operations, or value-based care analytics, where domain expertise is highly valued. Building stronger SQL, visualization, and healthcare policy knowledge can open up the next step, so it helps to track roles that match long-term goals.

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500+ jobs found

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    Healthcare data systems sme i

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    Sr business analyst - healthcare payer

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    Data analyst i

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    Senior data analyst

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    Senior medical economics analyst

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    Senior population health management analyst

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    remote, United States
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