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Entry Level Data Analyst Jobs in Romeoville, IL (NOW HIRING)

SynergisticIT

Python Programmer - Entry

Chicago, IL · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

GAINSystems

Professional Services Analyst

Chicago, IL · On-site

... Entry Level About GAINS GAINS is on a mission to make supply chains smarter, faster, and self ... Query and analyze large customer datasets using SQL to validate data quality, identify patterns ...

GAINSystems

Professional Services Analyst

Chicago, IL · On-site

$70K - $100K/yr

... Entry Level About GAINS GAINS is on a mission to make supply chains smarter, faster, and self ... Query and analyze large customer datasets using SQL to validate data quality, identify patterns ...

GAINSystems

Professional Services Analyst

Chicago, IL · On-site

$70K - $100K/yr

... Entry Level About GAINS GAINS is on a mission to make supply chains smarter, faster, and self ... Query and analyze large customer datasets using SQL to validate data quality, identify patterns ...

Sogeti

Entry Level Technologist

Chicago, IL · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering ...

SynergisticIT

JAVA FULL STACK DEVELOPER

Chicago, IL · On-site

$54 - $69.75/hr

Entry-Level Software Programmers, IT Enthusiasts, Python/Java Developers, Data Analysts/Data Scientists SYNERGISTICIT wants every candidate to know that the job market is challenging and to stand out ...

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All JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Romeoville, IL

Entry Level Data Analyst information

See Romeoville, IL salary details

$13

$33

$62

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

As of Jul 5, 2026, the average hourly pay for entry level data analyst in Romeoville, IL is $33.57, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $37.50 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
What are the most commonly searched types of Data Analyst jobs in Romeoville, IL? The most popular types of Data Analyst jobs in Romeoville, IL are:
What are popular job titles related to Entry Level Data Analyst jobs in Romeoville, IL? For Entry Level Data Analyst jobs in Romeoville, IL, the most frequently searched job titles are:
What cities near Romeoville, IL are hiring for Entry Level Data Analyst jobs? Cities near Romeoville, IL with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Romeoville, IL as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $69,830 per year, or $33.6 per hour.
Financial Program Analyst

Financial Program Analyst

US Department of Housing and Urban Development

Chicago, IL

$108K/yr

Other

Posted 6 days ago

Job description

This position is located in the Department of Housing and Urban Development, Assistant Secretary for Public and Indian Housing.
If you do not meet any of the categories listed below, you may wish to apply under announcement 26-HUD-12993119-P which is open for any U.S. citizen to apply. Please refer to that announcement for details on open period, eligibility, and how to apply.Qualifications:

You must meet the following requirements within 30 days of the closing date of this announcement.

Specialized Experience: For the GS-14 grade level, you must have one year (52 full weeks) of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized Experience for this position includes:
- Evaluating and providing recommendations to financial policies for federal initiatives or programs; AND
- Managing audits and ensuring risk management programs fulfill legislative mandates and requirements; AND
- Using automated financial resources management systems, databases and Microsoft Excel for performing risk
evaluation, data analysis, tests control activity, and financial reporting; AND
- Preparing written products such as reports, briefings, or statements.
For the GS-13 grade level, you must have one year (52 full weeks) of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized Experience for this position includes:
- Evaluating financial policies for federal initiatives or programs; AND
- Assisting with managing audits and ensuring risk management programs fulfill legislative mandates and
requirements; AND
- Using automated financial resources management systems, databases and Microsoft Excel for performing risk
evaluation, data analysis, tests control activity, and financial reporting; AND
- Reviewing written products such as reports, briefings, or statements.
The experience may have been gained in either the public, private sector or volunteer service. One year of experience refers to full-time work; part-time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week on your resume.
Time-in-Grade: In addition to the above requirements, you must meet the following time-in-grade requirement, if applicable:
For the GS-14 you must have been at the GS-13 level for 52 weeks.
For the GS-13 you must have been at the GS-12 level for 52 weeks.
Time After Competitive Appointment: Candidates who are current Federal employees serving on a non-temporary competitive appointment must have served at least three months in that appointment.
Education:This job does not have an education qualification requirement.Employment Type: OTHER

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