Entry Level Healthcare Data Analyst Jobs
New grad healthcare data analyst jobs connect recent graduates and entry level candidates with zero to two years of experience to a field where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site roles concentrated in Healthcare & Medical Services, Education, and Insurance, with employers like Deloitte, Medisolv, and Confluence Health hiring at this level now.
Find JobsOverview
Showing 5 of 10+ Entry Level Healthcare Data Analyst jobs
Work You'll Do
As a Project Lead Data Management Engineer II on the project, you will:
- Conduct data analysis or research in one or more Medicaid and CHIP data domains to include Eligibility and Enrollment Performance Indicator data, TAF, Behavioral Health, Expenditures, 416T reports, and Health outcomes
- Handle analyses around a very large dataset, identifying outliers, and utilization rate calculations across different geographies
- Perform predictive data analysis work to determine forecast utilization or enrollment seasonality
- Dive deep into data quality standards, working closely with project leadership, to identify what constitutes a 'good' dataset by considering if the data has referential integrity, if it conforms to expected values, and is comprehensive
- Present these findings and analysis in a clear format to project and client leadership
The successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.
Qualifications
Required:
- Bachelor's degree required
- Must be able to obtain and maintain the required Public Trust clearance for this role
- 8+ years of experience in data science, data analysis or data engineering functions
- 5+ years of advanced Python experience for data manipulation and analysis
- 5+ years of experience with Databricks for data engineering
- 2+ years of experience in Medicaid/Medicare analysis, rules, and compliance
- Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Advanced SQL skills
- Experience with large health care datasets including claims, enrollment, providers, and financials preferred
- Master's degree preferred
- Previous Federal Health experience preferred
- Active Public Trust clearance preferred
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 137,500 to $ 229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See All 10 Entry Level Healthcare Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsEntry Level Healthcare Data Analyst Job Market
Who's Hiring
- Deloitte1
- Medisolv1
- Confluence Health1
- Joslin Diabetes Center1
- Forman Technology1F
Top Industries Hiring
- Healthcare & Medical Services2
- Education1
- Insurance1
- Accounting & Auditing1
- Technology & Software1
Entry Level Healthcare Data Analyst Jobs: Frequently Asked Questions
How do I get an entry level healthcare data analyst job?
Employers hiring at the entry level prioritize candidates who can demonstrate hands-on work with health data, even from coursework or internships. A portfolio showing EHR data cleaning, claims analysis, or a quality-improvement project gives you a concrete edge. Familiarity with SQL, Excel, and at least one visualization tool like Tableau or Power BI is expected, and a healthcare-related degree or certificate signals domain fluency.
Which companies hire entry level healthcare data analysts?
Companies hiring entry level healthcare data analysts right now include Deloitte, Medisolv, and Confluence Health, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide mix of employers, including hospital systems, health insurance carriers, pharmacy benefit managers, and healthcare consulting firms that regularly onboard junior analysts.
Are there remote entry level healthcare data analyst jobs?
Yes, though on-site and hybrid roles still dominate at the entry level. About 60% of entry level healthcare data analyst openings are remote or hybrid as of July 2026, giving candidates outside major metro areas a realistic path in. Fully remote postings at this stage tend to come from payers, health tech companies, and large national health systems.
Are these new grad healthcare data analyst jobs?
Yes, the listings on this page include new grad, recent graduate, and junior healthcare data analyst roles. A new grad-friendly posting typically welcomes zero to two years of experience and treats internships, capstone projects, or a data portfolio as equivalent qualifications. Look for language like "entry level," "new grad," or "will train" in the posting to confirm the employer is open to candidates without prior full-time experience.
Which industries hire the most entry level healthcare data analysts?
Entry Level healthcare data analyst roles concentrate in Healthcare & Medical Services, Education, and Insurance, based on current listings on Migrate Mate as of July 2026. Those sectors drive entry level hiring because they generate high volumes of claims, clinical, and outcomes data that junior analysts can work with under supervision while building the domain knowledge needed to advance.