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Entry Level Healthcare Data Analytics Jobs (NOW HIRING)

Molina Healthcare

Analyst, Data & Analytics

Long Beach, CA · On-site +1

$49K - $107K/yr

Job Summary Provides support in conducting research, analysis, and reporting across healthcare and operational data to support decision-making, cost-containment strategies, and business performance ...

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Entry Level Healthcare Data Analytics information

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$33K

$81.5K

$140K

How much do entry level healthcare data analytics jobs pay per year?

As of Jul 18, 2026, the average yearly pay for entry level healthcare data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Healthcare Data Analytics vs Healthcare Data Analyst?

AspectEntry Level Healthcare Data AnalyticsHealthcare Data Analyst
Required CredentialsBachelor's degree in health informatics, data science, or related field; basic knowledge of healthcare systemsBachelor's or master's degree; some roles may prefer certifications like Certified Health Data Analyst (CHDA)
Work EnvironmentHospitals, clinics, healthcare IT companies, insurance firmsHospitals, healthcare organizations, consulting firms, government agencies
Employer & Industry UsageEntry-level roles in healthcare data teams, supporting senior analystsMid-level roles with more responsibilities in data analysis, reporting, and interpretation

Entry Level Healthcare Data Analytics positions are typically for individuals starting their careers with foundational skills in healthcare data. Healthcare Data Analysts usually have more experience and handle complex analysis tasks. Both roles are vital in healthcare organizations, but the analyst role generally involves greater responsibility and expertise.

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Entry Level Healthcare Data Analytics jobs near you
Data Analytics Developer (Remote Eligible)

Data Analytics Developer (Remote Eligible)

Mathematica

Washington, DC • On-site, Remote

Other

Re-posted 8 days ago

Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are seeking an intellectually curious Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  • Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creating and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found 

Apply