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Entry Level Health Informatics Analyst Jobs in Naperville, IL

Vizient

Data Science Fellow

Chicago, IL

$51K - $87K/yr

Master's degree in data science, statistics, medical/health informatics, or related field desired ... Demonstrated good proficiency in quantitative skills necessary for data analysis and machine ...

ULINE

Entry Level Finance Opportunities

Glenview, IL · On-site

Entry Level Finance Opportunities Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI ... analytical skills. * Ability to work independently and within a team. Benefits * Complete health ...

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All JobsHealth Informatics Analyst JobsEntry Level Health Informatics Analyst JobsEntry Level Health Informatics Analyst Jobs in Naperville, IL

Entry Level Health Informatics Analyst information

See Naperville, IL salary details

$42.4K

$85.5K

$124.8K

How much do entry level health informatics analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level health informatics analyst in Naperville, IL is $85,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $99,900.00 per year, depending on experience, location, and employer.

What is an entry level health informatics analyst?

An Entry Level Health Informatics Analyst is a professional who supports the management and analysis of health data using technology and information systems. They help collect, process, and interpret healthcare information to improve patient care, enhance operational efficiency, and support decision-making in healthcare organizations. Their responsibilities often include data entry, generating reports, maintaining electronic health records, and assisting with system upgrades or implementations. This role is ideal for recent graduates or those new to the field, providing a foundation for more advanced informatics positions. Strong analytical skills, attention to detail, and a basic understanding of healthcare IT systems are essential for success in this position.

What are the key skills and qualifications needed to thrive as an entry level health informatics analyst?

To thrive as an Entry Level Health Informatics Analyst, you need foundational knowledge in healthcare systems, data analysis, and informatics, typically supported by a degree in health informatics, public health, or a related field. Familiarity with electronic health records (EHR) systems, data analytics tools like SQL or Excel, and an understanding of HIPAA compliance are commonly required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with clinical and IT teams. These skills are vital to ensure data-driven decision-making, regulatory compliance, and improved healthcare outcomes.

What are some common challenges faced by entry level health informatics analysts when transitioning from academic settings to healthcare organizations?

Entry Level Health Informatics Analysts often encounter challenges such as adapting to complex healthcare data systems, understanding strict data privacy regulations like HIPAA, and learning to communicate effectively with both technical IT teams and clinical staff. The fast-paced environment may require quick problem-solving and prioritization of tasks. Building familiarity with specialized electronic health record (EHR) platforms and gaining hands-on experience with real-world data are key steps to overcoming these initial hurdles.

What is the difference between Entry Level Health Informatics Analyst vs Health Data Analyst?

AspectEntry Level Health Informatics AnalystHealth Data Analyst
Required CredentialsBachelor's in Health Informatics, Health Information Management, or related field; certifications like CPHIMS are a plusBachelor's in Data Science, Statistics, or related field; certifications like Certified Health Data Analyst (CHDA) are common
Work EnvironmentHospitals, clinics, healthcare IT companies, government agenciesHealthcare organizations, research institutions, consulting firms
Employer & Industry UsageUsed in healthcare settings focusing on health information systems and clinical dataUsed in analyzing healthcare data for research, reporting, and decision-making

The Entry Level Health Informatics Analyst and Health Data Analyst roles share similarities in working with healthcare data and requiring related certifications. However, the analyst focuses more on health information systems and clinical data management, while the data analyst emphasizes data analysis and reporting. Both roles are vital in healthcare but serve different primary functions.

What are the most commonly searched types of Health Informatics Analyst jobs in Naperville, IL?

The most popular types of Health Informatics Analyst jobs in Naperville, IL are:

What are popular job titles related to Entry Level Health Informatics Analyst jobs in Naperville, IL?

For Entry Level Health Informatics Analyst jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Health Informatics Analyst jobs in Naperville, IL look for?

The top searched job categories for Entry Level Health Informatics Analyst jobs in Naperville, IL are:

Entry Level Health Informatics Analyst jobs near you
Infographic showing various Entry Level Health Informatics Analyst job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $85,482 per year, or $41.1 per hour.

Data Science Fellow

Vizient

Chicago, IL

$51K - $87K/yr

Full-time

Re-posted 10 days ago

Key responsibilities

  • Work with internal data science teams on assigned projects related to healthcare data.

  • Develop data science approaches, including machine learning models, to improve understanding and predict healthcare outcomes.

  • Participate in client-facing meetings, collaborate with stakeholders, and present project summaries or capstone projects.

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Applications submitted without a personal statement will not be considered. Please upload a single combined PDF containing both your resume and personal statement in the Resume/CV section of the application in the following order:

1) Resume

2) Personal statement (View details below)

Required application materials:

1) Resume

2) Personal statement (1,000 words max)

  • Why Vizient

  • Why this fellowship

Summary

In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Responsibilities

  • Work with internal data science teams on assigned projects.

  • Develop data science approaches, including machine learning models, improve understanding and predict health care outcomes, conduct data management and other assigned tasks.

  • Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties.

  • Conduct self-directed research into healthcare data topics.

  • Participate in client-facing meetings and 'voice-of-customer's work to gain understanding of Vizient business needs.

  • Participation in cross-functional project assignments and present a capstone project or summary of projects to peers and mentors at the end of the Fellowship.

Qualifications

  • Relevant degree preferred: Master's degree in data science, statistics, medical/health informatics, or related field desired.

  • No previous work experience is required.

  • Demonstrated technical skills, including strong proficiency with programming languages such as Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

  • Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are required.

  • Strong familiarity and practical experience with Generative AI models (Large Language Models, Agentic Workflows, and other frameworks) is preferred.

  • Solid understanding of machine learning operations is preferred.

  • Experience working with health care data (EHR/EMR data, medical terminologies, etc.) is strongly preferred.

  • Strong communication and project management skills are preferred.

Application requirements:

1) Resume

2) Personal statement (1,000 words max)

  • Why Vizient

  • Why this fellowship

    Estimated Hiring Range:

    At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $51,900.00 to $87,900.00.

    This position is also incentive eligible.

    Vizient has a comprehensive benefits plan! Please view our benefits here:

    http://www.vizientinc.com/about-us/careers

    Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

    The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

    Apply