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Internship Healthcare Data Analyst Jobs (NOW HIRING)

Dugong Global

Healthcare Data Analyst

New York, NY

Knowledge of healthcare data concepts, healthcare workflows, or Electronic Health Records (EHR) gained through coursework, internships, research, or projects. * Familiarity with data analysis ...

Scalepex

Healthcare Data Analyst

Dallas, TX · Remote

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

WellSky

Healthcare Data Analyst

Overland Park, KS

$2.5K/yr

This job is responsible for performing statistical modeling and data analysis to develop metrics ... We invite you to apply today and join us in shaping the future of healthcare! Key Responsibilities:

Sentara

Senior Healthcare Data Analyst

Centre, AL · Remote

$80K - $133K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational ...

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How much do internship healthcare data analyst jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for internship healthcare data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects can an Internship Healthcare Data Analyst expect to work on, and how do these projects contribute to the overall goals of a healthcare organization?

As an Internship Healthcare Data Analyst, you can expect to work on projects such as analyzing patient care trends, supporting quality improvement initiatives, and assisting with the development of data dashboards. These projects typically involve cleaning and organizing large datasets, creating visualizations, and presenting findings to clinical or administrative teams. Your work directly supports evidence-based decision-making, helps improve patient outcomes, and optimizes operational efficiency within healthcare organizations. Interns often collaborate with data scientists, IT professionals, and clinical staff, gaining exposure to multidisciplinary teamwork and insight into the healthcare system’s data-driven processes.

Is 22 too old for an internship?

For an Internship Healthcare Data Analyst position, 22 is not too old; internships often target students or early-career individuals, but many companies accept applicants of various ages. Age should not be a barrier if you have relevant skills, such as data analysis tools like Excel or SQL, and a strong interest in healthcare data. Employers value skills and motivation over age in internship roles.

Can I do a data analyst internship?

A healthcare data analyst internship is typically available for students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships often require relevant coursework or certifications and may have age or educational prerequisites, providing practical experience in healthcare data management and analysis.

Can a data analyst work in healthcare?

A healthcare data analyst is a professional who specializes in analyzing medical and health-related data to improve patient outcomes, optimize operations, and support decision-making in healthcare settings. They typically use tools like SQL, Excel, and statistical software, and often require knowledge of healthcare regulations and data privacy standards. This role is essential in hospitals, clinics, insurance companies, and public health organizations.

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

To succeed as an Internship Healthcare Data Analyst, you need a solid grounding in statistics, data analysis, and healthcare concepts, often supported by coursework in public health, data science, or a related field. Familiarity with data analysis tools such as Excel, SQL, and visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, problem-solving skills, and effective communication help interns collaborate and present findings clearly. These skills are crucial for extracting actionable insights from healthcare data, supporting decision-making, and contributing to improved patient outcomes.

What does an Internship Healthcare Data Analyst do?

An Internship Healthcare Data Analyst assists with collecting, processing, and analyzing healthcare data to support decision-making and improve patient outcomes. Interns typically work under the supervision of experienced analysts or data scientists, learning to use data analysis tools and software. They may help prepare reports, visualize data trends, ensure data quality, and collaborate with healthcare professionals to meet organizational goals. This role provides valuable hands-on experience in data management and analytics within a healthcare setting.

How to get into healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Gaining skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Internships or entry-level positions can provide practical experience to build your career in this field.
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Internship Healthcare Data Analyst jobs near you
Infographic showing various Internship Healthcare Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Healthcare Data Analyst

Dugong Global

New York, NY

Full-time

Posted 6 days ago

Job description

Description

We are looking for a Healthcare Data Analyst to gather and analyze healthcare data from multiple sources (e.g. insurance processing, clinical operations, patient behavior) to extract trends and business insights. To succeed in this role, you should be analytical and resourceful. You should also be an excellent communicator who’s able to tell the story behind raw data to non-technical audiences. If you also have experience in the healthcare industry, we’d like to meet you. Your goal will be to help us operate profitably and streamline our processes to keep patients and employees satisfied.

Responsibilities

  • Understand health care operations and systems
  • Create and validate record-keeping processes
  • Pull and integrate data from disparate sources (e.g. cost and claims or clinical data)
  • Evaluate and preprocess raw information
  • Delve into data to discover discrepancies and patterns
  • Build models that capture a wide range of health care operations
  • Present and explain information in an accessible way (e.g budgeting reports)
  • Suggest ways to both increase healthcare quality and reduce costs (e.g. money spent in R&D)
  • Collaborate with management and internal teams to implement and evaluate improvements

Requirements

  • Qualifications
    • Master's degree (or Bachelor's degree with relevant experience) in Health Informatics, Data Analytics, Statistics, Computer Science, Public Health, Mathematics, or a related field.
    • Recent graduates and candidates with 0–2 years of experience are encouraged to apply.
    • Knowledge of healthcare data concepts, healthcare workflows, or Electronic Health Records (EHR) gained through coursework, internships, research, or projects.
    • Familiarity with data analysis, reporting, and data visualization techniques.
    • Basic understanding of SQL for querying and analyzing data.
    • Exposure to ETL (Extract, Transform, Load) concepts through academic or professional projects.
    • Familiarity with data warehousing concepts, including Enterprise Data Warehouse (EDW), is a plus.
    • Experience with analytical tools such as SQL, Excel, SAS, Power BI, Tableau, or Python is preferred.
    • Strong analytical, critical thinking, and problem-solving skills.
    • Excellent written and verbal communication skills.
    • Ability to work collaboratively in a fast-paced, team-oriented environment.
    • Strong attention to detail with good organizational and time management skills.
  • Preferred Qualifications
    • Internship, capstone project, research assistantship, or academic project involving healthcare or clinical data.
    • Exposure to healthcare standards such as HIPAA, ICD-10, HL7, or FHIR is a plus but not required.
    • Experience creating reports, dashboards, or visualizations using Power BI, Tableau, or similar tools.
    • Eagerness to learn and build a career in healthcare analytics.

Apply