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Entry Level Data Analyst Jobs in Springfield, IL

Nextiny

Entry Level Digital Marketer

Springfield, IL · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Crowe LLP

Privacy Senior Associate

Springfield, IL

Analyze data lifecycle processes to identify gaps, privacy risks, and areas requiring remediation ... Acts as a trusted subject-matter contributor rather than an entry-level support role. Privacy by ...

Walmart

(USA) Realty Project Coach

Springfield, IL · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

Walmart

Department Supervisor

Springfield, IL · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

Walmart

(USA) Realty Project Coach

Springfield, IL

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

Walmart

Store Supervisor

Springfield, IL · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Springfield, IL

Entry Level Data Analyst information

See Springfield, IL salary details

$13

$32

$61

How much do entry level data analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level data analyst in Springfield, IL is $32.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.44 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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 providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Springfield, IL as of July 2026, with employment types broken down into 50% Full Time, 13% Part Time, 7% Temporary, and 30% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $67,878 per year, or $32.6 per hour.
Nurse Analyst, Medicaid Fraud, Chicago or Oakbrook 23-E-06

Nurse Analyst, Medicaid Fraud, Chicago or Oakbrook 23-E-06

Illinois Attorney General (IL)

Springfield, IL

$65K - $95K/yr

Full-time

Re-posted 27 days ago

Job description

Summary of Duties and Responsibilities The Nurse Analyst is responsible for collecting, analyzing, and screening information from a variety of sources and is required to use that information to determine whether patient abuse, neglect, prescription drug diversion, fraud, waste, or abuse has occurred. The Nurse Analyst will assist in the evaluation and creation of investigative strategies and case objectives; evaluate the physical and mental status of victims; and assist with interviews of individuals and/or witnesses involved with alleged fraud or abuse cases. The Nurse Analyst will be responsible for writing reports; creating summary exhibits of findings; maintaining accurate records and files; and testifying in court and before the grand jury.

Additionally, they will review, analyze, interpret, and prepare detailed summaries of: medical records; charts; progress notes; medication administration records; Minimum Data Set resident assessment instruments; ICD-9/10 coding; CPT coding; and, Medicaid claims/utilization data. Qualifications This position requires a Bachelor's degree in nursing; a current license to practice as a Registered Nurse (RN) in good standing in the State of Illinois; and, a minimum of three (3) years of experience as a nurse practicing as a RN. Knowledge of state and federal rules and regulations related to health care and health care facilities particularly in the Medicaid program is desired along with work experience in patient/resident care settings (long-term care, assisted living, home health, hospice, hospital, group homes).

The ability to define problems, collect data, or information; establish facts and draw valid conclusions; ability to prepare meaningful, concise, and accurate reports; strong communication, organizational, and interpersonal skills; and proficiency in Microsoft Office is also desired. Travel will be required and candidates must possess a valid driver's license. Attendance, professionalism, integrity, and the ability to maintain satisfactory working relationships with the general public, other agencies, and OAG employees required.

Supplemental Information This position requires in office attendance.

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