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Statistical Analyst Jobs in Illinois (NOW HIRING)

Rush University Medical Center

Statistician 1

Chicago, IL · On-site

$32 - $46.44/hr

... statistical analyses of critical care and ICU datasets, including CLIF (Common Longitudinal ICU Data Format, www.clif-icu.com), Epic Cosmos data, and multi-center clinical trial data. Develops and ...

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All JobsStatistical Analyst JobsStatistical Analyst Jobs in Illinois

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 8, 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 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 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.

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 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.

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.
More about Statistical Analyst jobs
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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:
Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in Illinois as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $68,268 per year, or $32.8 per hour.

Lead Statistical Analyst

Tata Consultancy Service Limited

Chicago Ridge, IL • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Required Skillsets:
• Experience in leading a team of statistical programmers for a compound/indication or therapeutic area
• Proficiency in SAS / R programming languages to Program and validate ADaM , TFL and statistical analyses
• In-depth understanding of SAS programming concepts and techniques in drug development process and clinical study life cycle
• Good to have experience in other statistical programming languages (R).
• In-depth understanding of CDISC standards and therapeutic area (Oncology, Immunology , Neuroscience Etc.)
• Experience with regulatory filings.
• Effective communication skills (both written and verbal)
• Ability to effectively represent the Statistical Programming Organization in cross functional teams (Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing and Clinical Operations).
• Ability to accurately estimate effort required for project related programming activities.
• Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines
Key Responsibilities:
1. Leads the statistical programming activities for a compound/inidication.
2. Leads a team of statistical programmers and manages the resource planning for assigned staff.
3. Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
4. Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
5. Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
6. Ensures consistency of ADaM data sets for individual studies and integrated data.
7. Creates documentation for regulatory filings including reviewers guides and data definition documents.
8. Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
9. Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.
Salary Range: $130,000- 150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal As sistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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