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Healthcare Data Analytics Jobs in Springfield, IL

Norstella

Delivery Architect, RWD

Springfield, IL · On-site

Claims reconciliation and healthcare analytics processes Collaboration & Communication * Experience collaborating with cross-functional teams including Data Engineers, Business Analysts, QA, ...

NTT DATA Services

Enterprise Quality Analyst

Springfield, IL · On-site +1

$101K - $169K/yr

NTT DATA is seeking an Enterprise Quality Analyst to join the Illinois Project for the Advancement ... The ideal candidate will have 3 to 5 years of experience in quality assurance within a healthcare ...

NTT DATA Services

Enterprise Quality Analyst

Springfield, IL · On-site +1

$101K - $169K/yr

NTT DATA is seeking an Enterprise Quality Analyst to join the Illinois Project for the Advancement ... The ideal candidate will have 3 to 5 years of experience in quality assurance within a healthcare ...

NTT DATA Services

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

NTT DATA is seeking a Legacy Migration Analyst to join the IL PASS Project team to assist the State ... spending or health savings account, life and AD&D insurance, short and long term disability ...

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All JobsHealthcare Data Analytics JobsHealthcare Data Analytics Jobs in Springfield, IL

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 26, 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.
What are popular job titles related to Healthcare Data Analytics jobs in Springfield, IL? For Healthcare Data Analytics jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Analytics jobs in Springfield, IL look for? The top searched job categories for Healthcare Data Analytics jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Healthcare Data Analytics jobs? Cities near Springfield, IL with the most Healthcare Data Analytics job openings:
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.
Quality Assurance Analyst / ETL Tester

Quality Assurance Analyst / ETL Tester

DATAMAXIS

Springfield, IL • On-site, Remote

Contractor

Posted 28 days ago

Job description

Position Summary: The ETL Tester will be responsible for designing, automating, and executing test cases for Enterprise
Data Warehouse (EDW) ETL processes in a State Government Medicaid environment. In this role, you will be responsible for ensuring the accuracy, integrity, and reliability of data as it moves through our ETL processes. You will leverage your expertise to design and execute test strategies that validate both functional and non-functional requirements of our data pipelines.
The tester will leverage ETL tools, primarily Informatica PowerCenter for extraction, transformation, and loading, and Teradata RDBMS for core data store validation - within Azure DevOps and agile sprint cycles to ensure data quality, identify defects, and automate repeatable testing processes.
Requirement Analysis & Test Strategy
  • Review change requests and participate in requirement analysis for EDW data pipelines and transformations
  • Collaborate with data engineers, analysts, and business stakeholders to ensure test coverage aligns with business requirements
  • Design comprehensive test strategies, test plans, and test cases for ETL workflows

ETL & Data Validation
  • Perform end-to-end validation of data pipelines from source systems to EDW targets • Validate source-to-target mappings, transformation logic, and business rules
  • Execute data quality checks including row counts, null validation, duplicate detection, and referential integrity SQL & Backend Testing
  • Develop complex SQL queries (joins, aggregations, transformations) to validate ETL processes
  • Perform backend and database testing across large datasets and multiple systems

Automation & Scripting
  • Develop and maintain automated data validation frameworks using Python (Pandas, SQLAlchemy)
  • Build reusable scripts for regression testing, reconciliation, and data comparisons
  • Integrate automated testing into Azure DevOps CI/CD pipelines

Cloud & Data Platform Testing
  • Validate data pipelines and workflows within Azure Data Factory (ADF)
  • Test integrations across Azure services including Azure Data Lake, Azure SQL, and related components
  • Support validation of cloud-based data processing and orchestration workflows

Defect Management & Reporting
  • Identify, document, and track defects using tools such as Azure DevOps, JIRA, or HP ALM
  • Partner with development teams to troubleshoot issues and ensure resolution
  • Provide clear, audit-ready documentation of test results and findings

Required Qualifications:
  • 5+ years of experience in QA/testing with a focus on ETL, EDW, or backend data systems
  • 5+ years of hands-on Python experience for data validation, automation, and scripting
  • 5+ years of Azure experience, including data platform and cloud-based testing
  • 5+ years of Azure Data Factory (ADF) experience, including pipeline validation and orchestration testing
  • 5+ years of experience working in cloud environments, preferably Azure
  • Strong SQL expertise with hands-on experience in relational databases (Teradata, SQL Server, or equivalent)
  • Experience testing complex data transformations, data models (star/snowflake), and SCD (Type 1/Type 2)
  • Experience with test management and defect tracking tools (Azure DevOps, JIRA, HP ALM)
  • Strong analytical and troubleshooting skills with attention to detail
  • Experience working in Agile/Scrum environments

Preferred Qualifications
  • Healthcare or Medicaid domain experience (claims, encounters, eligibility, provider data)
  • Knowledge of HIPAA and healthcare data standards (837/835, ICD, CPT, HL7)
  • Experience with Medicaid Enterprise Systems (MES) or State agencies (e.g., Illinois HFS)
  • Experience with Informatica or legacy ETL tools (nice-to-have, not required)
  • Familiarity with GitHub or version control for automation
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About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003

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