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Healthcare Data Analytics Jobs in Springfield, IL

... patient care, system management, chart assembly and analysis, customer service/public relations ... Ensures accurate data collection and data entry to facilitate customer satisfaction and timely and ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for ...

As a Hospice Representative you'll educate healthcare providers and the public about vital hospice ... If you would like more information about how your data is processed, please contact us.

Patient Safety Coordinator

Springfield, IL · On-site

$34.34 - $53.23/hr

Monitor, investigate, and analyze patient safety events, near misses, and incident reports ... Bachelor's degree in nursing or health care field is required. An associate's degree in nursing or ...

Showing results 41-60

Healthcare Data Analytics information

See Springfield, IL salary details

$24

$54

$93

How much do healthcare data analytics jobs pay per hour?

As of Aug 16, 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.

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 healthcare data analytics?

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?

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.

How can I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Gaining relevant experience through internships or certifications can also improve job prospects.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

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 Python, making it a promising career with increasing demand and job opportunities.

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:

Infographic showing various Healthcare Data Analytics job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,861 per year, or $54.3 per hour.

MDM ETL Specialist / Developer

CSpring

Springfield, IL • Remote

Full-time

Posted 11 days ago


Job description

Description

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.  


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You'll Love Working Here

  • Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do

Working under the guidance of the MDM Technical Lead, you'll provide hands-on technical development and delivery support for MDM services:

  • Use the Informatica MDM tool to combine source data from agency sources, applying required transformations, applying corrections to the source files, and adding new fields via the change request process.
  • Support MDM development and operational activities using working knowledge of Informatica MDM.
  • Automate the staging of data by scheduling scripts to run at optimal times, enhancing overall system performance and efficiency.
  • Implement MDM jobs by creating mappings, mapplets, sessions, and workflows.
  • Work with different ETL transformations, including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank and Source Qualifier, Lookup, and Sorter.
  • Schedule and monitor ETL/Informatica jobs in development, system testing, and production environments.
  • Troubleshoot post-release production support issues and develop solutions.
  • Develop, maintain, and analyze complex SQL queries and scripts used to create data marts in Teradata.
  • Work directly with the QA team to support defect resolution, validation, and testing of MDM-related processes.
  • Participate in project discussions to document and recommend alternative technical solutions or requirements, and in unit, integration, and system testing.

Requirements

What You Bring

  • 5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development.
  • 3+ years of hands-on Informatica MDM implementation experience.
  • Experience developing ETL mappings, mapplets, sessions, workflows, transformations, scheduling, monitoring, and troubleshooting Informatica jobs.
  • SQL experience, with large MDM and DBMS enterprise relational platforms.
  • Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
  • Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery.
  • Experience with Python programming for scripting, automation, testing, or data processing support.
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. If your experience got you here another way, apply anyway.

Preferred Qualifications

  • Experience working in other MDM tools, including cloud-native MDM solutions.
  • Experience working in State government, public sector, or regulated environments.
  • Experience with Agile/Scrum sprint development and iterative/incremental delivery.
  • Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
  • Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
  • Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, or Data Lake.
  • Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
  • Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality.
  • Ability to operate in a telecommute environment and matrix organization with minimal direction.


Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment-apply today!