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Statistics Major Jobs in Chicago, IL (NOW HIRING)

Ogletree Deakins

Lead Statistician

Chicago, IL · On-site

$124K - $149K/yr

C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ... degree in applied statistics, mathematics, econometrics or a similar field or commensurate ...

Ogletree Deakins

Lead Statistician

Chicago, IL · On-site

$124K - $149K/yr

C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ... degree in applied statistics, mathematics, econometrics or a similar field or commensurate ...

Munich Re

Data Scientist

Chicago, IL · On-site +1

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

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Showing results 1-20

All JobsStatistics Major JobsStatistics Major Jobs in Chicago, IL

Statistics Major information

See Chicago, IL salary details

$41.8K

$86.2K

$120.6K

How much do statistics major jobs pay per year?

As of Sep 6, 2026, the average yearly pay for statistics major in Chicago, IL is $86,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $119,600.00 per year, depending on experience, location, and employer.

What is a statistics major?

A Statistics major is an academic program that focuses on the study of collecting, analyzing, interpreting, and presenting data. Students learn mathematical theories, probability, and statistical methods to solve real-world problems in various fields such as business, healthcare, government, and research. The program typically includes coursework in mathematics, computer science, and specialized statistical techniques. Graduates are equipped with analytical skills that are highly valued in data-driven industries.

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

To thrive as a Statistics Major, you need strong analytical skills, proficiency in mathematical reasoning, and a solid understanding of probability and statistical theory, typically supported by coursework in mathematics and statistics. Familiarity with statistical software such as R, SAS, SPSS, or Python and data visualization tools is essential. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting results and presenting findings. These competencies enable accurate data analysis, informed decision-making, and clear communication of complex statistical concepts in academic or professional settings.

What types of projects or collaborations can a statistics major expect to work on during their first professional role?

As a Statistics Major entering the workforce, you can expect to work on projects involving data collection, cleaning, analysis, and interpretation within cross-functional teams. You may collaborate with professionals from fields such as data science, engineering, marketing, or finance to derive actionable insights from complex datasets. Early-career roles often involve supporting senior analysts with statistical modeling, preparing reports, and contributing to presentations for stakeholders. This collaborative environment helps you build both technical and communication skills, laying a strong foundation for career advancement.

What is the difference between Statistics Major vs Data Analyst?

AspectStatistics MajorData Analyst
Required CredentialsBachelor's degree in Statistics, Mathematics, or related fieldBachelor's degree in Statistics, Data Science, or related field; often requires proficiency in data tools
Work EnvironmentAcademic, research, or corporate settings involving data analysis and modelingBusiness, finance, healthcare, or tech companies analyzing data to inform decisions
Industry UsageUsed in academia, research institutions, and industries requiring statistical modelingCommon in industries focused on data-driven decision making and reporting

Statistics Major and Data Analyst roles share similar educational backgrounds and work environments. While a Statistics Major focuses on developing statistical theories and models, a Data Analyst applies these skills to interpret data and support business decisions. Both roles are essential in data-driven industries, with overlapping skills but different primary focuses.

What can you do with a statistics major?

A statistics major can pursue careers in data analysis, actuarial science, research, and data science, applying statistical methods to solve real-world problems. They often work with tools like R, Python, or SQL and may need certifications such as the ASA or CAP. These roles typically involve analyzing data sets, creating reports, and supporting decision-making processes across various industries.

What are popular job titles related to Statistics Major jobs in Chicago, IL?

For Statistics Major jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Statistics Major jobs in Chicago, IL look for?

The top searched job categories for Statistics Major jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Statistics Major jobs?

Cities near Chicago, IL with the most Statistics Major job openings:

Statistics Major jobs near you
Infographic showing various Statistics Major job openings in Chicago, IL as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution, with an average salary of $86,246 per year, or $41.5 per hour.

Professor of Econometrics and Statistics

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

171st of 631 rated colleges and universities

Job description

Description
The University of Chicago Booth School of Business at the University of Chicago is seeking to appoint outstanding scholars to tenured positions in Econometrics and Statistics, beginning in the 2026-27 academic year.
Qualifications
Applications are invited from individuals who have earned a PhD (or equivalent) in Econometrics and Statistics and have experience on the tenure-track faculty at a major research university. Applicants should be interested in contributing to a program that welcomes, respects, and supports a diverse community of scholars. Members of our faculty are expected to conduct original research of exceptionally high quality, to teach effectively, and to participate in and contribute to the academic environment at the University.
Application Instructions
Each candidate should submit a curriculum vitae, course evaluations from prior teaching, at least two samples of written work, a research statement, and the names of five scholars willing to evaluate the candidate's ability, research, and teaching.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Equal Employment Opportunity Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email equalopportunity@uchicago.edu with their request.
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.

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