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

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

We are seeking a Senior Data Engineer with strong ETL, Python, and cloud data engineering experience to support enterprise data warehouse and analytics initiatives. This role is responsible for ...

Identify trends and recommend actions to senior management * Consult with management on long‑term ... Coordinate data collection and analysis and present findings for Patient Accounting initiatives

The Data Analyst will be responsible for collecting, querying, and analyzing data to support investigative duties and develop reports to assist in case assessments. Responsibilities : • collecting ...

NEOGOV is seeking a Data Analyst to join the Illinois Attorney General's Office, responsible for collecting and analyzing data to support investigative duties. The role involves running queries ...

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 ...

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 ...

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 ...

Senior Financial Analyst

Springfield, IL · On-site

$84K - $105K/yr

The Senior Financial Analyst is responsible for assistance in completion of special financial ... Assemble and summarize data to structure sophisticated reports on financial status and risks.

Senior HR Analyst

Springfield, IL · On-site

$74K - $111K/yr

Prepare reports of data results, presenting and explaining findings to senior leadership ... Based on metrics and analysis, make recommendations for policies and activities to improve the ...

Senior HR Analyst

Springfield, IL · On-site

$82K - $107K/yr

Prepare reports of data results, presenting and explaining findings to senior leadership ... Based on metrics and analysis, make recommendations for policies and activities to improve the ...

Data Modeler

Springfield, IL · On-site

$54.25 - $70.25/hr

... Senior Health Data Modeler ensures data structures are scalable, standards-compliant, well ... Analyze and translate business needs into long-term solution data models; evaluate existing data ...

Data Modeler

Springfield, IL · On-site

$54.25 - $70.25/hr

... Senior Health Data Modeler ensures data structures are scalable, standards-compliant, well ... Analyze and translate business needs into long-term solution data models; evaluate existing data ...

Data Modeler

Springfield, IL · On-site +1

$54.25 - $70.25/hr

... Senior Health Data Modeler ensures data structures are scalable, standards-compliant, well ... Analyze and translate business needs into long-term solution data models; evaluate existing data ...

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 ...

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Showing results 1-20

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 Aug 25, 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, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $98,348 per year, or $47.3 per hour.

Senior Data Engineer

MSR Technology Group

Springfield, IL • Remote

$105K - $142K/yr

Full-time

Posted 14 days ago


Job description

Senior Data Engineer (ETL / Python Developer)
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 Data Engineer with strong ETL, Python, and cloud data engineering experience to support enterprise data warehouse and analytics initiatives. This role is responsible for building and optimizing scalable data pipelines, modernizing legacy environments, and supporting critical reporting and analytics solutions.
What You'll Do
  • Design, develop, and support enterprise ETL and data integration solutions
  • Build scalable data pipelines using Python, Spark, and Databricks
  • Develop and optimize complex SQL queries, stored procedures, and database solutions
  • Support cloud migration and modernization initiatives
  • Implement data validation, reconciliation, and data quality processes
  • Collaborate with architects, analysts, QA teams, and business stakeholders
  • Troubleshoot production issues and perform root cause analysis
  • Participate in code reviews, source control, and CI/CD processes
Required Qualifications
  • 5+ years of Data Engineering experience
  • 5+ years of ETL development experience using Informatica PowerCenter, Azure Data Factory, Teradata, or similar tools
  • 5+ years of hands-on Python development
  • 5+ years of Teradata experience
  • 3+ years of Spark and Databricks experience
  • Strong SQL development and performance tuning skills
  • Experience with Snowflake, Oracle, SQL Server, or similar platforms
  • Experience with SnowSQL and Snowpark (Python)
  • Experience with Azure DevOps, GitHub, Git, and CI/CD practices
  • Strong analytical, troubleshooting, and problem-solving skills
Preferred Qualifications
  • Healthcare, Medicaid, or Medicare experience
  • State government or large enterprise data warehouse experience
  • Azure cloud experience
  • Data modeling and warehouse design experience
  • PowerShell or Bash scripting
  • API integration experience
  • Experience with data quality, reconciliation, and audit processes
  • Azure certifications
Why Apply?
  • 100% Remote
  • Enterprise-scale data engineering projects
  • Work with Azure, Databricks, Snowflake, Python, and modern cloud technologies
  • High-impact role supporting large data and analytics initiatives
  • Collaborative engineering-focused environment
If you are passionate about Python, ETL development, cloud data platforms, and building scalable enterprise data solutions, we'd love to hear from you.