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Entry Level Data Analyst Jobs in Springfield, IL

Data Entry Analyst

Springfield, IL · On-site

$20 - $125/hr

This entry-level role is ideal for individuals beginning their data career who are eager to learn ... Collect, organize, and analyze data from various sources Prepare basic reports and summaries to ...

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers * Python/Java developers * Data analysts/ Data Scientists * Machine Learning engineers Who should apply?

Equity Trader

Springfield, IL · Remote

$50 - $60/hr

... analysis, financial modeling, data analysis, and other reasoning exercises related to finance ... Seniority level Entry level Employment type Full-time Job function Finance and Sales Software ...

... analysis, financial modeling, data analysis, and other reasoning exercises related to finance ... This is an independent contract position. #finance Seniority level Entry level Employment type ...

... analysis, financial modeling, data analysis, and other reasoning exercises related to finance ... Seniority level Entry level Employment type Full-time Job function Finance and Sales Software ...

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 ...

... 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 ...

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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 May 28, 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.

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.

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.

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.

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 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 Entry Level Data Analyst jobs in Springfield, IL? For Entry Level Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Springfield, IL look for? The top searched job categories for Entry Level Data Analyst jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Entry Level Data Analyst jobs? Cities near Springfield, IL with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Springfield, IL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,878 per year, or $32.6 per hour.

Data Entry Analyst

LRS

Springfield, IL • On-site

$20 - $125/hr

Other

Posted 4 days ago


Job description

Job Description LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We've built a solid reputation for dealing with our clients and our consultants with honesty, integrity, and respect. We work hard every day to maintain that reputation, and we're very interested in candidates who can help us.

If you're that candidate, this opportunity is made for you. Looking for more than just another assignment. We're looking for you.

This isn't just another assignment, but a real opportunity and a challenge for the right person. LRS Consulting Services is seeking a Data Analyst for a 6-12 month contract opportunity with our client in Central Illinois. We are seeking a motivated Data Analyst to support data collection, analysis, and reporting efforts.

This entry-level role is ideal for individuals beginning their data career who are eager to learn and contribute by turning data into meaningful insights that support business decisions. Responsibilities: Collect, organize, and analyze data from various sources Prepare basic reports and summaries to support business needs Identify trends and patterns in data and communicate findings Assist in maintaining data accuracy and consistency Work with team members to understand business requirements Support ad hoc analysis and reporting requests Document data processes and definitions Contribute to process improvements and efficiency initiatives Oversee and assist in the manual upload of business applications, documents, and data to the new business module. The resource will assist with Project Management/Coordination related activities.

Assist the agency in credentialing reviews. Train any new state staff on the credentialing process. Develop formal SOP documentation surrounding the agencies credentialing licensing and review process'.

Audit data integrity for compliance with statutory and regulatory compliance Qualifications: 1+ year of experience in data analysis, internships, or related experience Basic understanding of data analysis concepts and reporting Strong analytical and problem-solving skills Ability to work with data sets and identify trends Attention to detail and accuracy Good organizational and time management skills Ability to communicate effectively in English (written and verbal) Willingness to learn and grow in a data-focused role Must have 3+ years of experience with the following: M.S. Office Suite (Outlook, Word, Excel, PowerPoint) Must have experience working with M.S. Windows Applications Experience working with computer systems and data entry Must have a background in customer service and attention to detail Must have proven documentation skills Knowledge of PC components and troubleshooting steps An ability to quickly learn technology programs Preferred Qualifications: Bachelor's degree in a related field such as business, data, or technology Exposure to working with data in academic or professional settings Understanding of basic reporting or data visualization concepts Work Environment: Collaborative, team-oriented environment Opportunity for learning, mentorship, and skill development The base range for this contract position is $30 - $55 per hour, depending on experience

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status. In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes.

LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees.

If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.