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Healthcare Data Analytics Internship Jobs (NOW HIRING)

Medeloop

Healthcare Data Scientist (RWD)

Boston, MA · On-site

This is a hands-on role that combines rigorous real-world evidence analysis with deep collaboration ... healthcare data. Externally, you will serve as an embedded data scientist for our partner ...

Abacus Insights

Associate Data Engineer

$30/hr

Exposure to data analysis, data profiling, reporting, data mapping, or data validation through coursework, internships, projects, research, or prior work experience. * Interest in healthcare data and ...

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

As of Aug 22, 2026, the average hourly pay for healthcare data analytics internship 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 is a healthcare data analytics internship?

A Healthcare Data Analytics Internship provides hands-on experience in analyzing healthcare data to support decision-making and improve patient outcomes. Interns work with medical records, insurance claims, and clinical data using tools like SQL, Python, and Excel. They may assist in visualizing trends, creating reports, and ensuring data quality. This role helps interns develop analytical, technical, and problem-solving skills in a healthcare setting.

What kind of projects or tasks will I be working on as a healthcare data analytics intern?

As a Healthcare Data Analytics Intern, you can expect to work on projects such as cleaning and preparing datasets, generating reports on healthcare trends, analyzing patient outcomes, and visualizing key metrics to support healthcare decision-makers. You may also assist in quality improvement initiatives and collaborate with clinical or administrative teams to understand data-driven needs. The role often involves weekly meetings to discuss findings and learn from senior analysts or healthcare professionals. This hands-on experience provides valuable exposure to both the technical and collaborative aspects of the healthcare analytics field, helping you build a strong foundation for future roles.

What are the key skills and qualifications needed to thrive in the healthcare data analytics internship position, and why are they important?

To thrive as a Healthcare Data Analytics Intern, you need a solid understanding of statistics, data analysis, and healthcare concepts, typically supported by coursework in data science, public health, or a related field. Familiarity with tools like Excel, SQL, Python, or data visualization software (such as Tableau) is often required, and knowledge of HIPAA regulations or data privacy certifications is a plus. Attention to detail, strong problem-solving abilities, and effective communication skills help you interpret and share analytical findings with diverse healthcare teams. These skills ensure accurate data insights that support impactful decision-making and improved patient outcomes.

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Healthcare Data Analytics Internship jobs near you
Infographic showing various Healthcare Data Analytics Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Engineer-Healthcare Practice

Blue and Company

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 22 days ago

Job description

Data Engineer

Blue & Co., LLC is an independent advisory and accounting firm providing tax, audit, and consulting services with a focus on practical, client-centered solutions. We combine deep industry expertise with a collaborative culture to help clients navigate complex financial and operational challenges.

Help Build the Future of Data Consulting

Blue & Co. is making a significant investment in Data & Analytics as a strategic growth initiative for the firm. We are building a modern Data & Analytics practice focused on developing proprietary data products, AI-enabled consulting services, and scalable analytics platforms that help healthcare organizations make better business decisions.

We believe AI is fundamentally transforming how consulting is delivered. Successful candidates will be comfortable leveraging modern AI tools to accelerate analysis, improve code quality, automate repetitive work, and solve complex business problems while exercising sound professional judgment.

While this position will spend most of its time supporting our nationally recognized Healthcare Consulting practice, the solutions you build will help establish scalable capabilities that extend across the entire firm.

This is an opportunity to help shape a rapidly growing practice - not simply support one.

Preferred Locations: Louisville, Indianapolis. Candidates in other Blue & Co., LLC locations will also be considered.

Key Responsibilities

  • Partner with leadership to architect an enterprise healthcare data ecosystem and develop multi-year technical roadmaps aligned with business objectives.
  • Design reusable data platforms that support multiple healthcare clients rather than one-off solutions.
  • Build frameworks and accelerators that improve delivery speed across consulting engagements.
  • Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform data from diverse internal and external healthcare sources.
  • Perform hands-on data extraction and scripting across hospital EHR systems (Epic, Meditech, CPSI, Cerner, etc.) and financial platforms.
  • Proactively identify opportunities to automate manual data movement and validation tasks to ensure high data integrity and reduced processing times.
  • Implement and monitor data governance and security protocols to ensure all data engineering practices remain PHI/HIPAA compliant.
  • Establish engineering best practices for the broader Data & Analytics team.
  • Partner with Data Analysts and healthcare consultants to bring new analytics products to market.
  • Evaluate emerging AI and data technologies and recommend where they can improve consulting delivery.
  • Provide the vision and hands-on coaching necessary to ensure data analysts are supported in their technical growth and project execution.

Technical Requirements

  • Experience designing and implementing cloud-based data platforms using Microsoft Fabric, Azure, Snowflake, or comparable modern analytics technologies.
  • Deep familiarity with 835/837 claims data, HL7/FHIR standards, and EHR/EMR database structures.
  • Experience handling both structured (relational) and unstructured (JSON, XML, flat file) healthcare data feeds.
  • Advanced SQL development and query optimization skills; proficiency in Python or PowerShell for data automation.
  • Strong understanding of dimensional modeling, Star Schema design, and data lakehouse architecture.

Preferred & Related Skills

  • Experience working in healthcare consulting, reimbursement advisory, or revenue cycle services.
  • Proven ability to navigate clinical, financial, and pharmacy data extracts from complex healthcare environments.
  • Experience creating scalable, reusable healthcare data products that can be deployed across multiple clients.
  • Ability to translate complex infrastructure and data architecture concepts for non-technical consulting leads and client executives.
  • Demonstrated ability to effectively leverage AI tools (Copilot, ChatGPT, Claude, or similar) to accelerate engineering, automate repetitive tasks, optimize code quality, and solve complex technical problems.

Nice to Haves

  • Knowledge of Medicare cost reporting (HCRIS) data structures
  • Familiarity with Prompt Engineering to leverage LLMs for troubleshooting and pipeline optimization.

Education & Experience

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 5+ years of experience in data engineering, backend architecture, or ETL development.


We are responsive. We are caring. We are advocates.


Blue & Co., LLC, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, sex, sexual orientation, gender identity, disability, genetic information, national origin, race, religion, veteran status, or any other protected category.

Candidates must be authorized to work in the U.S. without current or future employer sponsorship.

Agency candidates will not be considered for this position.


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