2

Entry Level Data Processing Jobs in Illinois (NOW HIRING)

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... data sources, processes, and reporting procedures. · Assist with automating repetitive reporting ...

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

... data processing and analysis. You will be responsible for developing and implementing data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Be Seen First

We are committed to operational excellence, data-driven decision-making, and continuous improvement ... process tracking, and standard operating procedure compliance to streamline workflow and support ...

New

next page

Showing results 1-20

Entry Level Data Processing information

See Illinois salary details

$11

$17

$23

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

As of Aug 22, 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 is an entry level data processing job?

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 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 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 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.

How hard is it to get an entry level data processing job with no experience?

Entry level data processing jobs typically do not require extensive experience and often accept candidates with basic computer skills and a willingness to learn. Familiarity with data tools like Excel or SQL can improve chances, and some employers may offer on-the-job training or certifications to help new hires get started.

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:

Infographic showing various Entry Level Data Processing job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,680 per year, or $17.2 per hour.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 4 days ago


Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.