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Healthcare Data Analytics Jobs in Springfield, IL

CSpring

QA Analyst / ETL Tester

Springfield, IL

Direct experience in a Medicaid, healthcare, or government data environment, including familiarity ... Bachelor's degree in Computer Science, Information Technology, Data Analytics, Mathematics, or a ...

CSpring

QA Analyst / ETL Tester

Springfield, IL · On-site

Direct experience in a Medicaid, healthcare, or government data environment, including familiarity ... Bachelor's degree in Computer Science, Information Technology, Data Analytics, Mathematics, or a ...

CSpring

QA Analyst / ETL Tester

Springfield, IL · On-site

Direct experience in a Medicaid, healthcare, or government data environment, including familiarity ... Bachelor's degree in Computer Science, Information Technology, Data Analytics, Mathematics, or a ...

CVS Health

Staff Software Architect

Springfield, IL · On-site

... analytics. You will operate as a thought leader and trusted authority - setting direction for ... Deep familiarity with clinical and healthcare data domains: clinical notes, EHR data, claims ...

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Healthcare Data Analytics information

See Springfield, IL salary details

$24

$54

$93

How much do healthcare data analytics jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for healthcare data analytics in Springfield, IL is $54.26, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts analyze medical data to improve patient outcomes and operational efficiency. While AI tools can automate data processing and basic analysis, human expertise is essential for interpreting complex data, making strategic decisions, and ensuring ethical considerations. The role is expected to evolve with technology, emphasizing skills in data management, statistical analysis, and domain knowledge.

What are some typical challenges faced in a Healthcare Data Analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

What are the key skills and qualifications needed to thrive in the Healthcare Data Analytics position, and why are they important?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What is a Healthcare Data Analytics job?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Excel, with certifications often enhancing job prospects. The demand for professionals in this area is increasing due to the expanding use of electronic health records and health information systems.

What exactly does a healthcare data analyst do?

A healthcare data analyst collects, processes, and interprets healthcare data to identify trends, improve patient outcomes, and support decision-making. They use tools like Excel, SQL, and data visualization software, and often work with electronic health records and healthcare databases to ensure data accuracy and compliance.

What is the role of data analytics in healthcare?

Healthcare Data Analytics involves collecting, analyzing, and interpreting health data to improve patient outcomes, optimize operations, and support clinical decision-making. Data analysts in this field use tools like SQL, Python, or R to identify trends, measure performance, and inform policy, often working within electronic health record systems and requiring knowledge of healthcare regulations such as HIPAA.
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Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Springfield, IL as of June 2026, with employment types broken down into 71% Full Time, 19% Part Time, and 10% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $112,861 per year, or $54.3 per hour.

SQL Data Analyst - Healthcare Claims

MSR Technology Group

Springfield, IL • Remote

Full-time

Posted 7 days ago

Job description

SQL Data Analyst - Healthcare Claims
Remote | Contract (Multi-Year or Permanent Option) | Competitive Pay + Benefits

Why This Role Is Different
This opportunity gives you real impact on Medicaid data solutions that improve healthcare delivery for millions. You’ll work with cutting-edge tools, collaborate with smart teams, and enjoy flexibility without sacrificing stability.

What You’ll Do
  • Develop complex SQL for data warehouse reporting and analytics.
  • Analyze business processes and document requirements for new systems.
  • Partner with internal teams and clients to deliver clear documentation and updates.
  • Support user acceptance testing, defect tracking, and scenario development.
  • Dive into Medicaid enrollment, provider, and claims data to uncover insights.
  • Identify and resolve data anomalies across cross-functional teams.
  • Create professional presentations and contribute to operational guides.
What We’re Looking For
  • Must-Have Skills:
    • Advanced ANSI SQL coding experience.
    • Healthcare business analysis and claims/encounter experience.
    • 2+ years of Unix/Linux Shell scripting (Bash/Korn).
    • Strong communication and organizational skills.
    • Ability to thrive with minimal guidance and tight deadlines.
  • Education: Bachelor’s degree in a related field.
Preferred Extras
  • Experience with CMS Federal Reporting (CMS-416, CMS-64), PERM, T-MSIS.
  • Familiarity with HEDIS, CMS Core Set, and Symmetry EBM Connect.
  • Teradata DBMS experience.
  • Knowledge of data integration, agile methodologies, and tools like Azure DevOps, SharePoint, MS Project, Visio.
Why You’ll Love It
  • Flexibility: Remote work with occasional travel.
  • Stability: Multi-year contract or potential permanent hire.
  • Benefits: Competitive pay plus comprehensive benefits.
  • Impact: Your work will directly improve Medicaid program performance.