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Statistical Analyst Jobs in Naperville, IL (NOW HIRING)

Penske

Operational Excellence Analyst

Chicago, IL · On-site

$75K - $80K/yr

Qualifications: - Bachelor's Degree required, concentration in - Degree in Industrial Engineering, Engineering (other), Statistics, Business Analytics preferred - Master's Degree preferred - Six ...

National Association of REALTORS

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Strategic Business Innovation ... Good grasp of basic statistical concepts. * Ability to communicate complex technical concepts ...

Lockton Companies

Senior Financial Analyst

Chicago, IL · On-site

$90 - $120/hr

The Senior Financial Analyst contributes to development, delivery and related consulting on health ... Bachelor's degree required (major in Finance, Statistics, Math, or related field preferred). * 4+ ...

Elevance Health

Actuarial Analyst

Chicago, IL · On-site

$66K - $99K/yr

The Actuarial Analyst is responsible for assisting in the determination of rates, analyzing, developing, and validating statistical data. How you will make an impact: * Under limited supervision ...

InterPark

Business Intelligence Analyst

Chicago, IL · On-site

Bachelor's degree in Business, Finance, Economics, Statistics, Data Analytics, Mathematics, or a related quantitative field. * 2-5 years of experience in pricing, business analytics, financial ...

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Statistical Analyst information

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$30K

$70.3K

$117.3K

How much do statistical analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for statistical analyst in Naperville, IL is $70,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $80,900.00 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.
More about Statistical Analyst jobs

What are the most commonly searched types of Statistical Analyst jobs in Naperville, IL?

The most popular types of Statistical Analyst jobs in Naperville, IL are:

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

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

What job categories do people searching Statistical Analyst jobs in Naperville, IL look for?

The top searched job categories for Statistical Analyst jobs in Naperville, IL are:

Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in Naperville, IL as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $70,345 per year, or $33.8 per hour.

Sr. Analyst, Marketing Analytics

Beyond Finance

Chicago, IL

$105K - $130K/yr

Full-time

Re-posted 2 days ago

Beyond Finance rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

About the Role

The Marketing Analytics Sr. Analyst will conduct analyses focused on optimizing and understanding marketing performance, sales effectiveness, client retention, and lifetime customer value. The role will collaborate cross-functionally with marketing, operations, product, sales, business intelligence, and data teams to deliver novel, actionable insights that contribute to meeting company goals.

The ideal candidate is a results-driven, strategic thinker who thrives in a dynamic, fast-paced environment. Exceptional candidates will have best-in-class data skills including SQL, Excel, dataset manipulation, and data visualization.

A successful Senior Analyst will quickly build a deep understanding of the business and be able to effectively communicate results and present recommendations to stakeholders. The Senior Analyst will be hands-on in analyzing data, developing reports, and driving meaningful change through data-backed recommendations. They are adaptable and can prioritize effectively to deliver impactful results.

What You'll Do

  • Extract, clean, and analyze data to provide actionable insights to improve customer acquisition and retention
  • Liaison between Data, Business Intelligence, Analytics, Operations and Sales to ensure continuous alignment and fulfillment of data needs
  • Conduct deep-dive analyses on major marketing and sales initiatives, operational trends, challenges, and opportunities
  • Build and maintain automated reporting and dashboards to track key metrics
  • Partner with the product and operations teams to design and execute tests
  • Manage multiple projects simultaneously in a fast-paced FinTech/start-up environment, adapting to changing priorities as needed

What We Look For

  • 2+ years professional experience in marketing, product, strategy, or business analytics
  • 2+ years professional experience in paid media strategy, measurement, and optimization
  • Experience with experiment design and statistical analysis
  • Best-in-class data and analytical skills
  • Significant experience with data-related best practices and methodologies; experience with relational data models, SQL, etc.
  • A proactive and curious mindset with a strong desire to grow and develop
  • Quick learner; willing to dive in and get their hands dirty
  • Demonstrated ability to prioritize and deliver results in a fast-paced environment
  • Looker experience is a plus

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