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Entry Level Statistician Jobs in Naperville, IL (NOW HIRING)

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends. Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

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Entry Level Statistician information

See Naperville, IL salary details

$50.4K

$86.8K

$116.3K

How much do entry level statistician jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level statistician in Naperville, IL is $86,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $98,400.00 per year, depending on experience, location, and employer.

What does an entry level statistician do?

An entry level statistician helps collect, analyze, and interpret data to support decision making in various industries such as healthcare, government, business, and research. They typically use statistical software to organize data, run basic analyses, and create reports or visualizations under the guidance of more experienced statisticians. Their work often involves tasks like cleaning datasets, checking for data accuracy, and helping to design surveys or experiments. Entry level statisticians usually collaborate with other team members to ensure the data supports the goals of a project and to communicate findings in a clear way.

What are the key skills and qualifications needed to thrive as an entry level statistician, and why are they important?

To thrive as an Entry Level Statistician, you need a solid background in statistics, mathematics, and data analysis, usually demonstrated by a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as data visualization tools, is typically required. Attention to detail, problem-solving ability, and clear communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data analysis, effective collaboration, and the ability to support decision-making processes within an organization.

What are some typical projects or tasks an entry level statistician might work on in their first year?

As an Entry Level Statistician, you can expect to assist with data collection, cleaning, and preliminary analysis under the guidance of more senior statisticians. Typical tasks include preparing datasets, running statistical tests, creating basic reports, and visualizing data to support research or business decisions. You'll often collaborate closely with data analysts, researchers, and subject matter experts to ensure data quality and relevance. This hands-on experience is an excellent foundation for developing technical skills and understanding how statistical methods are applied in real-world settings.

What is the difference between Entry Level Statistician vs Data Analyst?

AspectEntry Level StatisticianData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, government agencies, healthcare, financeBusiness, marketing, technology, finance
Employer UsageOrganizations needing statistical analysis and modelingCompanies analyzing data to inform business decisions

Entry Level Statisticians and Data Analysts often share similar educational backgrounds and work environments. However, statisticians focus more on developing models and conducting advanced statistical analysis, while data analysts typically interpret data to support business strategies. Both roles are essential in data-driven industries, but their specific tasks and focus areas differ.

What are the most commonly searched types of Statistician jobs in Naperville, IL?

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

What job categories do people searching Entry Level Statistician jobs in Naperville, IL look for?

The top searched job categories for Entry Level Statistician jobs in Naperville, IL are:

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

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

Infographic showing various Entry Level Statistician job openings in Naperville, IL as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $86,792 per year, or $41.7 per hour.

Entry- level Business Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description:
We are seeking a motivated Entry-Level Business Analyst to join our growing team. This is an excellent opportunity for entry level candidates or individuals looking to start their career in business analysis. The candidate will work closely with stakeholders, project managers, and development teams to gather business requirements and support data-driven decision-making.

Responsibilities:


• Gather and document business requirements from stakeholders
• Analyse business processes and identify areas for improvement
• Assist in preparing Business Requirement Documents and Functional Requirement Documents
• Work with cross-functional teams to support project delivery
• Perform data analysis and generate reports
• Participate in meetings, workshops, and project discussions
• Assist in creating process flow diagrams and documentation
• Support testing activities including UAT
• Track project progress and maintain documentation
• Communicate effectively with technical and non-technical teams

Qualifications:


• Bachelor’s or Master’s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field

• 0–2 years of experience or relevant internships in business intelligence, data analysis, or reporting

• Strong analytical and problem-solving skills
• Basic understanding of business analysis concepts
• Good communication and documentation skills
• Knowledge of Excel, SQL, or data tools is a plus
• Ability to work in a team environment