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Statistical Analyst Jobs in Illinois (NOW HIRING)

The primary responsibilities for this role include the analysis and reporting of clinical trial data under the direction and oversight of a Senior Statistical Analyst. The Statistical Programmer ...

The primary responsibilities for this role include the analysis and reporting of clinical trial data under the direction and oversight of a Senior Statistical Analyst. The Statistical Programmer ...

Statistician

Chicago, IL · On-site

$75K - $85K/yr

Statistical Analysis and Modeling: * Execute and define standardized analytic plans under supervision to support data analytics for assigned program. * Support relevant classification methods and ...

Senior Data Analyst

Deerfield, IL · On-site

$87K - $110K/yr

Including raw data, data tables, statistical analysis, and reports as required. Data Cleaning and Organisation * Project Monitoring - Oversight of Field Work projects from beginning to end ...

Summarise, analyse and visualise study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality. * Provide statistical consultancy support ...

Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality. * Provide statistical consultancy support ...

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Statistical Analyst information

See Illinois salary details

$29.1K

$68.3K

$113.9K

How much do statistical analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for statistical analyst in Illinois is $68,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $78,500.00 per year, depending on experience, location, and employer.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

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

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.

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

The most popular types of Statistical Analyst jobs in Illinois are:

What job categories do people searching Statistical Analyst jobs in Illinois look for?

The top searched job categories for Statistical Analyst jobs in Illinois are:

What cities in Illinois are hiring for Statistical Analyst jobs?

Cities in Illinois with the most Statistical Analyst job openings:

What are popular job titles related to Statistical Analyst jobs in IL?

For Statistical Analyst jobs in IL, the most frequently searched job titles are:

Infographic showing various Statistical Analyst job openings in Illinois as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $68,268 per year, or $32.8 per hour.

Sr Statistical Analyst or Statistical Special

American Property Casualty Insurance Association

Chicago, IL • On-site

Full-time

Re-posted 22 days ago


Job description

Position Summary
The Senior Statistical Analyst or Statistical Specialist (final title will be determined based on the selected candidate's experience) is responsible for supporting Property & Casualty Insurance statistical reporting operations. This role will perform a variety of statistical reporting functions, including auditing company data submissions, researching and resolving submission issues, and preparing complex and summarized reports with a high degree of accuracy and timeliness. The position plays a key role in ensuring compliance with regulatory requirements and industry reporting obligations.

Principal Responsibilities

  • Audit company submissions for edit errors and reasonability.
  • Investigate and resolve out of balance conditions and data problems.
  • Prepare external reports and data files, including balancing, auditing, and issue resolution.
  • Communicate verbally, and in writing, with subscriber companies regarding data problems and solutions.
  • Correct company data, as directed.
  • Adhere to standard processes and completes all required documentation.
  • Recommend and document updates to business procedures for preparation of assigned reports, as needed.
  • Propose improvements to the business processes and/or technology to improve quality or increase efficiency.
  • Apply basic techniques of balancing and auditing in the preparation of external reports.
  • Complete all quality assurance tracking resources for both auditing and report production accurately and timely.
  • Review and approve test results from technology projects for accuracy and completeness.
  • Assist in training other analysts on personal productivity tools and basic job functions.
  • Train team members on specific assignments, statistical techniques, or tools.
  • Respond to special requests and prepares ad-hoc reports
  • Adhere to standard processes and completes all required documentation.

Additional Responsibilities:

  • Complete balancing and auditing tasks in the preparation of complex and/or summarized external reports and compilations.
  • Interpret insurance data trends and evaluate outcomes
  • Lead the production implementation of a new business process, report, or product.
  • Research, modify and test complex edit and project related system changes.
  • Participate in the review of tolerances and definition of new thresholds.
  • Initiate technology project requests, defines detailed business requirements, and approves the functional design of new technology components.
  • Participate in communication with regulatory agencies to understand changes, respond to questions, and provide requested information.
  • Develop and maintain business procedures.

Qualifications: 

  1. Education: 3-5 years of property casualty insurance statistical reporting experience, with or for a property casualty insurance company or statistical agency.
  2. Experience:
  • Proficient in business processes, statistical procedures, and ISS 2000(internal tool) for assigned lines.
  • Proficient in all installed personal computer tools.
  • Ability to multitask in order to complete assignments efficiently.
  • Ability to communicate, both orally and in writing, with all departments within ISS and externally with customers.
  • Ability to review complex problems and implement solutions.
  • Works effectively with team members within the department and across departments.