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

Business Data Analyst

Naperville, IL Β· On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Data Protection, A/SA-Evergreen

Chicago, IL Β· On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Chicago, IL Β· On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Chicago, IL Β· On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Analyst information

See Naperville, IL salary details

$13

$32

$61

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

As of Sep 12, 2026, the average hourly pay for entry level data analyst in Naperville, IL is $32.88, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $36.73 per hour, depending on experience, location, and employer.

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 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 Naperville, IL?

The most popular types of Data Analyst jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Entry Level Data Analyst jobs?

Cities near Naperville, IL with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Naperville, IL as of September 2026, with employment types broken down into 51% Full Time, 29% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,385 per year, or $32.9 per hour.

Data Analyst contract C2C jobs Location: Naperville, IL

Naperville, IL β€’ On-site

$40/hr

Other

This job post hasΒ expired today.Β Applications are no longer accepted.


Job description

Role: Data Analyst

Location: Naperville, IL – Local candidates needed.

Duration: 6 Months

Rate: $40/hr on C2C MAX

Job Description

Entry level to early-career Data Analyst. Prior BMO experience and banking domain knowledge is a must. Support client projects through basic business analysis, data research, and insight generation. Use AI tools and analytics basics to identify trends and improve workflows. Prepare reports and presentations and collaborate with teams in a fast paced environment.

Essential Skills

Entry level to early-career Financial Analyst. Prior BMO experience and banking domain knowledge is a must. Support client projects through basic business analysis, data research, and insight generation. Use AI tools and analytics basics to identify trends and improve workflows. Prepare reports and presentations and collaborate with teams in a fast paced environment. Collaborate with team members in a fast-paced learning-driven environment.

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