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Entry Level Data Processing Jobs in Illinois (NOW HIRING)

LRS

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 ... Train any new state staff on the credentialing process. Develop formal SOP documentation ...

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Entry Level Data Processing information

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$11

$17

$23

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

As of Jun 1, 2026, the average hourly pay for entry level data processing in Illinois is $17.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.17 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Data Processing professional, you need strong attention to detail, basic data entry skills, and proficiency with spreadsheets or database software, typically supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, Google Sheets, and data management systems is often required. Organizational skills, reliability, and the ability to work accurately under deadlines are valuable soft skills in this role. These competencies help ensure accurate, efficient management of data and contribute to the overall integrity of business operations.

What are some common challenges faced by entry-level data processing professionals, and how can they be addressed?

Entry-level data processing professionals often encounter challenges such as managing large volumes of data, maintaining data accuracy, and adapting to various software tools and platforms. It's important to develop strong attention to detail and effective time-management skills to ensure data is processed efficiently and accurately. Seeking guidance from more experienced team members, participating in training sessions, and staying updated on best practices can help new hires overcome these challenges and contribute successfully to the team.

What are entry level data processing jobs?

Entry level data processing jobs involve handling, organizing, and entering data into computer systems or databases. These roles typically include responsibilities such as verifying data accuracy, updating records, and ensuring information is stored securely. No advanced technical skills are usually required, but attention to detail and basic computer proficiency are important. These positions often serve as a starting point for careers in data management, analysis, or IT.

What is the difference between Entry Level Data Processing vs Data Entry Clerk?

AspectEntry Level Data ProcessingData Entry Clerk
Required SkillsBasic data handling, software familiarityTyping, data input accuracy
CertificationsNone typically requiredNone typically required
Work EnvironmentOffice, remote optionsOffice, data centers
Industry UsageData management, analysis supportData input, record keeping

Entry Level Data Processing involves handling and preparing data for analysis, often requiring familiarity with data software. Data Entry Clerks focus on accurately inputting data into systems. While both roles require attention to detail, data processing may involve more technical skills, whereas data entry emphasizes speed and accuracy.

What are the most commonly searched types of Data Processing jobs in Illinois? The most popular types of Data Processing jobs in Illinois are:
What are popular job titles related to Entry Level Data Processing jobs in Illinois? For Entry Level Data Processing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Processing jobs in Illinois look for? The top searched job categories for Entry Level Data Processing jobs in Illinois are:
Entry Level Data Processing jobs near you
Infographic showing various Entry Level Data Processing job openings in Illinois as of May 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $35,680 per year, or $17.2 per hour.
Entry Level Data Analyst/ Data Scientist

Entry Level Data Analyst/ Data Scientist

SynergisticIT

Northbrook, IL

Other

Posted 24 days ago

Job description

Data Analyst

SynergisticIT is a full-service staffing and placement firm servicing clients in America for the past 10 years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We do provide Java training to candidates, who we think would fit a job requirement with one of our clients.

Who should apply:

  • Candidates who have difficulty finding jobs even after completing their bachelors and masters.
  • Candidates who are working on redundant technologies and want to become relevant again to boost their growth.
  • Candidates who want to enhance their skill portfolio

Required Qualifications:

  1. Bachelors or Masters in Computer Science/MIS/IT.

Skills Required:

  1. Structured Query Language (SQL)
  2. Microsoft Excel.
  3. R or Python-Statistical Programming.
  4. Data Visualization.
  5. Presentation Skills.
  6. Machine Learning.
  7. Data Intuition

Processing large volume of claims, describers and drug-based information for performing retail opportunity/expansion analysis for CVS pharmacies all over United States using tools like SQL. Creating ETL end-end data pipelines from extraction to transformation to data validation and finally performing ad-hock data analysis as per stakeholder's request. Using R/Python programming language for performing statistical analysis specifically price sensitivity analysis and predictive modelling/machine learning to determine how different input costs and other parameters will help us classify the data into different pricing models and make recommendation to business for making more insightful decisions. Creating and presenting the results for the stakeholders by creating large scale data visualization and dashboards using Tableau for communicating results to technical as well as non-technical audience. Training and working with new analysts in the team and making sure that they understand the process and help them in conducting day to day data analysis requests.

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