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Data Analyst Jobs in Springfield, IL (NOW HIRING)

VIVA USA INC

Fiber Network Data Analyst

Springfield, IL · On-site +1

Experience Understanding of fiber optics/telecom Knowledge of fiber industry standards Documentation of fiber optics Analytical interpretation of fiber data, fiber test results Experience working ...

Turing

Remote AI Analyst

Springfield, IL · On-site

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data ... Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet ...

Turing

Remote AI Analyst

Springfield, IL · On-site

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data ... Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet ...

SynergisticIT

Python/R Developer

Springfield, IL · On-site

$52 - $67.25/hr

We want data science/machine learning/data analyst and Java full stack candidates. Required skills for data science/machine learning positions: Bachelors degree or masters degree in computer science ...

All JobsData Analyst JobsData Analyst Jobs in Springfield, IL

Data Analyst information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data analyst in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about 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 Data Analyst jobs in Springfield, IL? For Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Springfield, IL look for? The top searched job categories for Data Analyst jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Data Analyst jobs? Cities near Springfield, IL with the most Data Analyst job openings:
Data Analyst jobs near you
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

Posted 15 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.

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