1

Statistical Data Analyst Jobs in Chicago, IL (NOW HIRING)

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

Apply statistical methods and data mining techniques to uncover meaningful insights. • Create ... Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ...

Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Apply statistical methods and data mining techniques to uncover meaningful insights. • Create ... Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ...

Conducts periodic audits of data and processes to ensure validity and reliability of statistical ... Strong quantitative analytical skills, including multivariate statistical techniques, advanced data ...

Senior Commercial Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... statistical techniques to support decision-making Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Analytics, or related field 5+ years of ...

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field; Master's degree preferred * 5+ years of experience in a data analyst role, preferably in a sales ...

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field; Master's degree preferred * 5+ years of experience in a data analyst role, preferably in a sales ...

Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred * Experience with data manipulation and ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred * Experience with data manipulation and ...

Data Analyst/BI DeveloperWe focus on data-driven questions that matter to our business and can be solved through the application of data analysis, statistics, and computer programming. We develop ...

Data Analyst/BI DeveloperWe focus on data-driven questions that matter to our business and can be solved through the application of data analysis, statistics, and computer programming. We develop ...

Showing results 41-60

Statistical Data Analyst information

See Chicago, IL salary details

$30.9K

$72.6K

$121.1K

How much do statistical data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical data analyst in Chicago, IL is $72,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $83,500.00 per year, depending on experience, location, and employer.

What does a statistical data analyst do?

A Statistical Data Analyst is responsible for collecting, processing, and interpreting large sets of data to identify trends, patterns, and insights that inform business decisions. They use statistical techniques and software tools to analyze data, create reports, and present their findings to stakeholders. Statistical Data Analysts often work closely with other teams to support research, improve processes, or solve specific problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a statistical data analyst?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, a solid background in statistics or mathematics, and typically a bachelor's or master's degree in a related field. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools and databases, is essential. Outstanding analytical thinking, attention to detail, and the ability to communicate complex findings clearly make someone stand out in this position. These skills are crucial for accurately interpreting data, providing actionable insights, and supporting effective decision-making within organizations.

What are some common challenges statistical data analysts face when interpreting large datasets, and how are these typically addressed in the workplace?

Statistical Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing large volumes of information, and ensuring the accuracy of their analyses. To address these, analysts typically use data cleaning techniques, collaborate closely with data engineers or IT teams to streamline data pipelines, and employ robust statistical methods to minimize errors. Regular team meetings and peer reviews are also common practices to ensure the validity of results and to foster a collaborative problem-solving environment.

What is the difference between Statistical Data Analyst vs Data Scientist?

AspectStatistical Data AnalystData Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysisBachelor's or higher in Computer Science, Statistics, or related; often advanced degrees and certifications in machine learning
Work EnvironmentCorporate, finance, healthcare, government; focused on data reporting and analysisTech firms, startups, research; involves data modeling, machine learning, and predictive analytics
Employer & Industry UsageUsed across industries for data reporting and insightsUsed in tech, finance, and research for complex data modeling and predictive tasks

While both roles analyze data, Statistical Data Analysts focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to predict future trends. The roles overlap in skills but differ in complexity and scope.

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

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

Infographic showing various Statistical Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.

$76K - $100K/yr

Full-time, Part-time

Re-posted 22 hours ago


Job description

Chicago Public Schools (CPS) is a district on the rise, serving over 320,000 students in 500+ schools and employing over 44,000 people, most of them teachers. CPS has set ambitious goals to ensure that every student, in every school and every neighborhood, has access to a world-class learning experience that prepares each for success in college, career, and civic life. In order to fulfill this mission, we make three commitments to our students, their families, and all Chicagoans: academic progress, financial stability, and integrity. Six core values are embedded within these commitments - student-centered, whole child, equity, academic excellence, community partnership, and continuous learning.
The Office of Information and Technology Services (ITS) works to build the capacity of schools to use information and technology, maintain network infrastructure, security standards, and support other departments to meet district goals. ITS provides innovative technology solutions that improve the quality of education for students, reduce the administrative burden on educators, facilitate parent interaction, increase community engagement, and support CPS' mission of transparency by focusing on the ease and equity of access to information.
Job Summary:
The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago Public Schools (CPS) by transforming raw data into actionable insights. Reporting to the Manager, Master Data Management, the Senior Data Analyst will collaborate with diverse teams across the district to provide data-driven recommendations, contribute to the development of AI/ML models, and support the district's mission to provide a world-class education for every child. This is a full-time, exempt position that will be paid for time worked on a salary basis.
This position will be held accountable for the following responsibilities:
• Collect, clean, and organize large datasets from various sources (student information systems, assessments, operational data, etc.).
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies in data; Apply statistical methods and data mining techniques to uncover meaningful insights.
• Create compelling visualizations and dashboards using Power BI to effectively communicate findings to stakeholders. Fulfill data requests by researching, preparing, and delivering data.
• Translate complex data analyses into clear and concise reports that inform decision-making.
• Collaborate with data scientists on the development and implementation of AI/ML models. Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and validating model performance.
• Adhere to data governance policies and procedures established by the MDM & Data/AI team.
• Ensure data quality and integrity through rigorous data cleaning and validation processes.
• Collaborate with cross-functional teams (e.g., academics, operations, finance) to understand their data needs and provide data-driven recommendations. Effectively communicate technical findings to both technical and non-technical audiences.
• Stay current with the latest advancements in data analysis techniques and tools.
• Other duties as assigned
Education Required:
• Bachelor's degree from an accredited college or university is required.
Experience Required:
• A minimum of five (5) years of experience as a Data Analyst or similar role including the following is required:
• Experience with data visualization tools (e.g., Power BI, Tableau)
Knowledge, Skills, and Abilities:
• Strong understanding of statistical concepts and data analysis techniques and tools.
• Proficiency in SQL and at least one programming language (e.g., Python, R).
• Familiarity with data warehousing and ETL processes.
• Strong analytical and problem-solving abilities.
• Ability to work independently and as part of a team.
• Ability to manage multiple projects and prioritize tasks effectively.
• Ability to uncover patterns and trends.
• Excellent verbal and written communication skills, including presentations, listening, and writing.
• Ability to build collaborative relationships with a variety of constituent groups, including external partners, to ensure the entire system operates in the most effective manner possible to support schools and principals.
• Ability to define problems, analyze data, and outline valid conclusions and action steps.
Conditions of Employment
As a condition of employment with the Chicago Public Schools (CPS), employees are required to:
• Establish/Maintain Chicago Residency - Employees are required to live within the geographic boundaries of the City of Chicago within six months of their CPS hire date and maintain residency throughout their employment with the district. The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS employees must be residents of Illinois.