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Entry Level Statistician Jobs in Illinois (NOW HIRING)

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

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.

University of Utah

Biostatisticians

Campus, IL · On-site

$51 - $102/hr

... statistical issues. Biostatistician, I Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. This is an Entry-Level position in ...

University of Utah

Biostatisticians

Campus, IL · On-site +1

Program statistical software packages (e.g., SAS/STAT, Stata, or R) to improve quality and ... This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 ...

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Entry Level Statistician information

See Illinois salary details

$48.9K

$84.2K

$112.9K

How much do entry level statistician jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level statistician in Illinois is $84,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $95,400.00 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.

More about Entry Level Statistician jobs

What are the most commonly searched types of Statistician jobs in Illinois?

The most popular types of Statistician jobs in Illinois are:

What are popular job titles related to Entry Level Statistician jobs in Illinois?

For Entry Level Statistician jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistician jobs in Illinois look for?

The top searched job categories for Entry Level Statistician jobs in Illinois are:

What cities in Illinois are hiring for Entry Level Statistician jobs?

Cities in Illinois with the most Entry Level Statistician job openings:

Entry Level Statistician jobs near you
Infographic showing various Entry Level Statistician job openings in Illinois as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Contract. Highlights an 86% In-person, 3% Hybrid, and 11% Remote job distribution, with an average salary of $84,229 per year, or $40.5 per hour.

Quantitative Researcher - Entry Level

Anson McCade

Chicago, IL • On-site

Full-time

Re-posted 29 days ago

Job description

$200,000 USD
Highly competitive bonus
Onsite WORKING
Location: Chicago, Illinois - United States Type: Permanent
HFT Quantitative Researcher - Low-latency/short-term strategies - Entry-level
Anson McCade have partnered with a renowned proprietary trading firm which is engaged in high-frequency and short-term trading across cash equities, futures, and options markets.
This firm has offices globally, and are looking for exceptionally talented researchers to join their office in Chicago. The successful candidates will join a flat, open, and collaborative environment where they will work on the full strategy lifecycle, from signal generation through to deploying/managing models in live trading, working closely with development and monetization specialists.
Requirements:
  • A Master's or PhD level degree in a STEM field. Past candidates have backgrounds in Mathematics/Statistics, Computer Science/Electrical Engineering, and similar fields, and have studied at Ivy league or other target universities.
  • Proven ability to carry out quantitative research in financial markets, as evidenced through an internship within a hedge fund or trading firm.
  • Proficiency with Python, familiarity/experience with C++ is preferred.
Benefits:
  • Opportunity to work alongside some of the brightest minds within a flat and collaborative environment. Intentionally small headcount ensures that their researchers can make a bigger impact on the business.
  • Access to some of the best in-house resources/technology on the market.
  • Extremely lucrative package, including sign-on bonuses and yearly bonuses.

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