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Entry Level Statistician Jobs in Illinois (NOW HIRING)

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

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 ...

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 +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

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$48.9K

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$112.9K

How much do entry level statistician jobs pay per year?

As of Aug 30, 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:

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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:

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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 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $84,229 per year, or $40.5 per hour.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

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

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.

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