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Data Science Analyst Jobs in Illinois (NOW HIRING)

Lead Data Science Analyst

Riverwoods, IL · On-site

$105K - $147K/yr

Bachelors Analytics, Engineering, Statics or related. * 4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related Bonus Points If You ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting. * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... analytics applications, while providing technical leadership and leading projects. This role ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

... analytics applications, while providing technical leadership and leading projects. This role ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Showing results 1-20

Data Science Analyst information

See Illinois salary details

$32.9K

$80.1K

$131.8K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in Illinois is $80,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

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

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

What is the difference between Data Science Analyst vs Data Analyst?

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

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

The most popular types of Data Science Analyst jobs in Illinois are:

Infographic showing various Data Science Analyst job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,080 per year, or $38.5 per hour.

Data Science Analyst -TCOM

University of Chicago

Chicago, IL • On-site

Full-time

Re-posted 4 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

163rd of 620 rated colleges and universities


Job description

Job Summary:
The University of Chicago is dedicated to transforming mental health through innovative care and research. They are seeking a Data Science Analyst to provide technical assistance for online training systems, analyze data from various sources, and support learners effectively.
Responsibilities:
• Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
• Provide clear, compassionate, and timely support to learners through phone and email.
• Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider’s support desk.
• Collaborate with the LMS provider’s support team to identify, report, and help resolve technical issues.
• Track and share patterns or recurring concerns that may indicate broader system issues.
• Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
• Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
• Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
• Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
• Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
• Performs other related work as needed.
Qualifications:
Required:
• Minimum requirements include a college or university degree in related field.
• Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
• Resume/CV (required)
• Cover Letter (required)
Preferred:
• Experience with Learning Management Systems.
• Knowledge of Learning Management Systems and Zendesk.
• Strong communication skills with the ability to explain technical information in clear and supportive ways.
• Patience, empathy, and commitment to learner success.
• Detail-oriented and organized, with the ability to manage multiple requests efficiently.
• Comfort with technology and ability to learn new learning management systems.
• Excellent communication and coaching abilities.
• Proficiency with Microsoft Office 365 and LMS platforms.
• Organizational skills.
• Verbal and written communication skills.
• Work independently and as part of a multidisciplinary team.
Company:
University of Chicago is a world-renowned, private research university located in Chicago. Founded in 1890, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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