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

247Hire

Senior NOMAD/Mainframe Developer

Springfield, IL · Remote

$60 - $65/hr

Analyze existing NOMAD applications, data structures, business rules, and dependencies. * Design ... Collaborate with senior developers and cross-functional technical teams to ensure successful ...

New

Crowe LLP

Privacy Senior Associate

Springfield, IL

The Privacy Senior Associate supports Crowe's global privacy program by providing independent ... Analyze data lifecycle processes to identify gaps, privacy risks, and areas requiring remediation ...

Springfield Clinic

Financial Analyst

Springfield, IL · On-site

Compile and analyze financial reports and identify discrepancies that require senior management ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

Springfield Clinic

Financial Analyst

Springfield, IL · On-site

$63K - $95K/yr

Compile and analyze financial reports and identify discrepancies that require senior management ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

Wolters Kluwer

Senior Sales Trainer

Springfield, IL

$78K - $136K/yr

As a Senior Sales Trainer, you'll drive impactful sales training initiatives designed to elevate ... Data Analysis: Capability to analyze and interpret training-related data. Sales Mastery: In-depth ...

Wolters Kluwer

Senior Sales Trainer

Springfield, IL · On-site

$78K - $136K/yr

As a Senior Sales Trainer, you'll drive impactful sales training initiatives designed to elevate ... Data Analysis: Capability to analyze and interpret training-related data. Sales Mastery: In-depth ...

Wolters Kluwer

Senior Sales Trainer

Springfield, IL · On-site

$78K - $136K/yr

As a Senior Sales Trainer, you'll drive impactful sales training initiatives designed to elevate ... Data Analysis: Capability to analyze and interpret training-related data. Sales Mastery: In-depth ...

Lantern

Strategy Analyst

Springfield, IL · On-site

Analyze claims and cost savings data to drive insights for reporting and product improvement ... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ...

EverCommerce

Analyst, Growth

Springfield, IL · On-site

$75K - $85K/yr

You'll work closely with the Senior Manager, Strategic Growth and cross-functional stakeholders to analyze data, synthesize insights, and help drive execution across a variety of projects. This is a ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Springfield, IL

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 Jul 16, 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 are Senior Data Analysts?

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 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.

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.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
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:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Springfield, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,348 per year, or $47.3 per hour.

Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Springfield, IL

$125K/yr

Other

Posted 15 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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