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Internship Remote Health Data Analyst Jobs in Phoenix, AZ

... remote-first team that is passionate about creating transformative change in healthcare. We hire ... This position is ideal for someone who has the right mix of data analysis, curiosity, and ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... An additional requirement for this role is the ability to comply with COVID-19 health and safety ...

... for research and analytical purposes. Ability to use data to glean insights and form ... Strong ability to stay connected to remote partners and stakeholders.

DATA ANALYST INTERMEDIATE

Phoenix, AZ · On-site +1

$65.97K - $120.53K/yr

Arizona's Rural Health Transformation Program is supported by the Centers for Medicare & Medicaid ... All work, including remote work, should be performed within Arizona unless an exception is properly ...

Reporting to the Head of Data, you will serve as a key analytical thought leader-defining how ... health, dental, and vision insurance 401(k) plan with employer matching Flexible, remote-first work ...

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Internship Remote Health Data Analyst information

See Phoenix, AZ salary details

$11

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$41

How much do internship remote health data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship remote health data analyst in Phoenix, AZ is $22.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Health Data Analyst, and why are they important?

To thrive as an Internship Remote Health Data Analyst, you need foundational skills in data analysis, statistics, and familiarity with healthcare terminology, often supported by coursework in public health, informatics, or a related field. Proficiency with analytical tools like Excel, SQL, Python, or data visualization platforms, as well as experience using electronic health record (EHR) systems, is typically required. Strong attention to detail, problem-solving abilities, and clear communication skills help interns interpret data accurately and share insights with teams. These skills are crucial for ensuring data-driven decision-making and supporting healthcare organizations in improving patient outcomes.

What types of projects or datasets might I work with as a remote health data analyst intern?

As a remote health data analyst intern, you may work on projects involving electronic health records, clinical trial data, or public health datasets. These projects often include tasks such as cleaning and organizing raw data, performing statistical analyses, and creating visualizations to uncover trends or insights. You’ll likely collaborate with other data analysts, healthcare professionals, and IT staff to ensure data quality and relevance. This experience provides an excellent opportunity to apply academic knowledge to real-world health challenges and build valuable technical and teamwork skills.

What is a remote health data analyst internship?

A remote health data analyst internship is a temporary, often entry-level position where interns work from a remote location to analyze healthcare-related data. Interns in this role typically assist in collecting, cleaning, and interpreting health data to support research, policy decisions, or healthcare operations. The position provides hands-on experience with data analysis tools and methodologies specific to the healthcare industry, such as electronic health records, medical claims, and public health data. This internship is ideal for students or recent graduates interested in combining data analytics with healthcare. Remote internships offer flexibility and the opportunity to work with organizations regardless of geographic location.

What is the difference between Internship Remote Health Data Analyst vs Remote Health Data Coordinator?

AspectInternship Remote Health Data AnalystRemote Health Data Coordinator
CredentialsTypically pursuing or recent graduate in health informatics, data science, or related fieldsUsually requires experience in data management, health information systems, or related certifications
Work EnvironmentRemote internship, often part-time, supervised by professionalsRemote or hybrid, responsible for data organization and quality control
Employer & Industry UsageHospitals, healthcare providers, research institutionsHealthcare organizations, clinics, health IT companies

The main difference is that an Internship Remote Health Data Analyst is an entry-level, temporary position focused on learning and supporting data analysis tasks, while a Remote Health Data Coordinator handles ongoing data management and quality assurance responsibilities in a healthcare setting.

What are popular job titles related to Internship Remote Health Data Analyst jobs in Phoenix, AZ? For Internship Remote Health Data Analyst jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Internship Remote Health Data Analyst jobs in Phoenix, AZ look for? The top searched job categories for Internship Remote Health Data Analyst jobs in Phoenix, AZ are:
Infographic showing various Internship Remote Health Data Analyst job openings in Phoenix, AZ as of May 2026, with employment types broken down into 5% As Needed, 67% Full Time, 23% Part Time, 2% Temporary, and 3% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $46,477 per year, or $22.3 per hour.
Remote Health Data Analyst & AI Trainer

Remote Health Data Analyst & AI Trainer

DataAnnotation

Phoenix, AZ • Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A leading AI development company is seeking experienced quantitative professionals for a fully remote role. You will evaluate AI-generated quantitative work, solve complex problems, and provide impactful feedback to shape future AI systems. Ideal candidates have 2+ years of experience in a quantitative field, coding skills, and a strong understanding of statistical methods.

This position offers competitive hourly pay starting at $40+ USD and the flexibility to choose projects and work schedule. #J-18808-Ljbffr