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Senior Data Analyst Jobs in Springfield, IL (NOW HIRING)

IL EDW Data Modeler

Springfield, IL · Remote

$54.25 - $70.25/hr

We are seeking a Senior Health Data Modeler to support large-scale healthcare data warehouse and analytics initiatives. This role will focus on enterprise data modeling, data governance, healthcare ...

You will have opportunities to interact with senior consultants, academic and industry experts ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Analyst

Springfield, IL · On-site

$112K/yr

You will have opportunities to interact with senior consultants, academic and industry experts ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Showing results 21-40

Senior Data Analyst information

See Springfield, IL salary details

$54.5K

$98.3K

$134.3K

How much do senior data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data analyst in Springfield, IL is $98,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Springfield, IL?

The most popular types of Data Analyst jobs in Springfield, IL are:

What are popular job titles related to Senior Data Analyst jobs in Springfield, IL?

For Senior Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst jobs in Springfield, IL look for?

The top searched job categories for Senior Data Analyst jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Senior Data Analyst jobs?

Cities near Springfield, IL with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,348 per year, or $47.3 per hour.

IL EDW Data Modeler

MSR Technology Group

Springfield, IL • Remote

$54.25 - $70.25/hr

Full-time

Posted 23 days ago


Job description

Senior Health Data Modeler (Healthcare EDW) – Remote
Remote (Must reside within the Continental U.S.)
No C2C, Third-Party Vendors, Sponsorship, or Employer Representatives. Direct candidates only.

We are seeking a Senior Health Data Modeler to support large-scale healthcare data warehouse and analytics initiatives. This role will focus on enterprise data modeling, data governance, healthcare data architecture, and cloud modernization efforts within a complex healthcare environment.
This is an excellent opportunity for someone who enjoys designing scalable data solutions, collaborating with architects and engineers, and influencing enterprise data strategy.
Responsibilities
  • Design and maintain conceptual, logical, and physical data models
  • Translate business requirements into scalable data warehouse solutions
  • Develop dimensional, normalized, and analytical data models
  • Create and maintain ERDs, data dictionaries, metadata, and data lineage documentation
  • Support data governance, data quality, and compliance initiatives
  • Collaborate with architects, developers, analysts, and business stakeholders
  • Define data standards, relationships, keys, and performance optimization strategies
  • Support cloud modernization and enterprise analytics initiatives
Required Qualifications
  • 10+ years of IT experience
  • 7+ years of enterprise data modeling experience
  • Strong healthcare data experience, including Medicaid, Medicare, claims, provider, and member data
  • Advanced SQL skills, including query optimization and database design
  • Experience with data governance, metadata management, data quality, and MDM
  • Strong knowledge of:
    • Dimensional Modeling
    • Star/Snowflake Schemas
    • Data Vault
    • OLTP / OLAP Concepts
    • Slowly Changing Dimensions (SCDs)
  • Experience with Erwin, ER/Studio, or similar data modeling tools
  • Excellent communication and stakeholder management skills
Preferred Qualifications
  • State Medicaid or Healthcare EDW experience
  • Azure data platform experience
  • Snowflake experience
  • Teradata modernization experience
  • Informatica or Azure Data Factory experience
  • Power BI or Tableau
  • Knowledge of HIPAA, PHI, and healthcare data compliance requirements
  • Python or R experience
What You'll Get
  • 100% Remote Opportunity
  • Enterprise-scale healthcare data environment
  • Cloud modernization initiatives
  • High-visibility architecture and data strategy work
  • Collaborative team of data architects, engineers, and analytics professionals
If you're passionate about healthcare data, enterprise architecture, and building scalable data solutions, we'd love to hear from you.