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

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Design dimensional models (star/snowflake) for analytics use * Handle SCD (Type 1/2), CDC, and ...

Analyze data quality and provide recommendations for change. * Drive product fitment analysis versus gap areas and create specifications for gap resolution. * Support the onboarding of multiple data ...

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 ... This senior-level position requires a deep understanding of mainframe legacy systems, particularly ...

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 ... This senior-level position requires a deep understanding of mainframe legacy systems, particularly ...

Legacy Migration Analyst

Springfield, IL · On-site

$101K - $169K/yr

NTT DATA is seeking a Legacy Migration Analyst to join the IL PASS Project team to assist the State ... This senior-level position requires a deep understanding of mainframe legacy systems, particularly ...

Network Architect

Springfield, IL · Hybrid

$90 - $100/hr

Title: Senior Data Center Network Engineer Location:Springfiedl, Illinois (Onsite/Hybrid ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation ... You will partner closely with data architects, analytics engineers, data scientists, business ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation ... You will partner closely with data architects, analytics engineers, data scientists, business ...

Network Architect

Springfield, IL · On-site

$90 - $100/hr

Title: Senior Data Center Network Engineer Location:Springfiedl, Illinois (Onsite/Hybrid ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Network Architect

Springfield, IL · Hybrid

$90 - $100/hr

Title: Senior Data Center Network Engineer Location:Springfiedl, Illinois (Onsite/Hybrid ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation ... You will partner closely with data architects, analytics engineers, data scientists, business ...

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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 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:
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 Analyst, Medicaid Fraud, Belleville, 26-02

Data Analyst, Medicaid Fraud, Belleville, 26-02

Illinois Attorney General (IL)

Springfield, IL

$64K - $75K/yr

Full-time

Re-posted 6 days ago


Job description

Summary of Duties and Responsibilities The Data Analyst is responsible for collecting, querying, organizing, and researching data. They will perform comprehensive data analysis in support of case assessment and investigative duties, and identify questionable practices, abnormalities and/or irregularities. The Data Analyst will run queries using specialized databases; develop data history analysis to support investigations; prepare written reports supporting exhibits such as chart and graphs to support analysis; and act as a liaison between various organizations and agencies to develop and implement general and case specific information exchange.

Qualifications This position requires a Bachelor's degree in economics, information technology, computer science, accounting, finance, business, or similar quantitative field. Applicants must have knowledge of Microsoft Office products, an ability to demonstrate critical analysis, and strong technological, and problem-solving skills. The ability to conduct research using law enforcement databases and open-source search tools, and outstanding written and communication skills is required.

Attendance, flexibility, and the ability to build and maintain satisfactory working relationships with other agencies and OAG employees is required. Supplemental Information This position is not eligible for remote hours.