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Statistics Assistant Jobs in Illinois (NOW HIRING)

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Statistics Assistant information

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$11

$18

$25

How much do statistics assistant jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for statistics assistant in Illinois is $18.45, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $20.48 per hour, depending on experience, location, and employer.

What does a statistics assistant do?

A Statistics Assistant supports statisticians and researchers by collecting, organizing, and analyzing data. They help prepare reports, create charts or graphs, and may assist with data entry and quality control tasks. Their work ensures that the data used in statistical analyses is accurate and well-organized, allowing researchers to draw meaningful conclusions. Statistics Assistants often use statistical software and spreadsheets in their daily work.

What are the key skills and qualifications needed to thrive as a statistics assistant, and why are they important?

To thrive as a Statistics Assistant, you need a solid background in mathematics, data analysis, and statistical methods, often supported by a relevant degree or coursework. Familiarity with statistical software such as SPSS, R, or Excel, and sometimes database management systems, is typically required. Attention to detail, problem-solving abilities, and strong communication skills help you interpret data accurately and present findings clearly. These skills ensure the reliability of statistical analyses and effective support for research or business decision-making.

What are some typical challenges statistics assistants face when supporting multiple projects simultaneously?

Statistics Assistants often juggle various tasks across several projects, which can include cleaning and organizing large datasets, assisting with data analysis, and preparing reports under tight deadlines. Balancing these responsibilities requires strong organizational skills and the ability to prioritize tasks based on urgency and project requirements. Frequent communication with statisticians, researchers, and other team members is crucial to clarify assignments and ensure data accuracy. Staying adaptable and proactive in seeking clarification can help manage workload effectively and contribute to the overall success of the team.

What is the difference between Statistics Assistant vs Data Analyst?

AspectStatistics AssistantData Analyst
Required CredentialsAssociate's or Bachelor's in Statistics, Mathematics, or related fieldBachelor's or higher in Statistics, Data Science, or related field
Work EnvironmentSupportive, data-focused teams in government, research, or corporate settingsAnalytical teams in various industries, including finance, healthcare, and tech
Employer & Industry UsageGovernment agencies, research institutions, corporationsBusinesses, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding entry-level roles in statisticsExploring advanced data analysis careers

While both roles involve working with data, a Statistics Assistant typically supports data collection and basic analysis, often requiring an associate's or bachelor's degree. A Data Analyst performs more complex data interpretation and reporting, often needing additional experience or skills. Both roles are essential in data-driven environments, but Data Analysts usually have broader responsibilities and higher technical expertise.

What qualifications do I need to work in statistics?

To work as a statistics assistant, a bachelor's degree in statistics, mathematics, or a related field is typically required. Strong analytical skills, proficiency in statistical software such as SPSS or R, and good communication abilities are also important. Some positions may prefer or require additional certifications or experience with data management and programming.

Where do statistics assistants work?

Statistics assistants typically work in office environments within government agencies, research institutions, or private companies. They may also work in laboratories or data centers, using statistical software and tools to analyze data and support research projects. The work often involves regular business hours and requires attention to detail and proficiency in data management.

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

The most popular types of Statistics jobs in Illinois are:

What cities in Illinois are hiring for Statistics Assistant jobs?

Cities in Illinois with the most Statistics Assistant job openings:

Statistics Assistant jobs near you
Infographic showing various Statistics Assistant job openings in Illinois as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $38,369 per year, or $18.4 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Chicago, IL • On-site

$125K/yr

Full-time

Posted 9 days ago

Key responsibilities

  • Review and analyze data sources to assess their validity and reliability for data science projects.

  • Clean, transform, and integrate structured and unstructured data from multiple sources to prepare for analysis.

  • Apply data-mining models and statistical methods to analyze data, evaluate results, and support decision-making.

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 856 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework 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.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year 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:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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