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Data Analyst Computer Science Jobs in Chicago, IL

University of Chicago

Data Science Analyst

Chicago, IL · On-site

$74K - $100K/yr

The University of Chicago seeks Data Science Analyst for Chicago, IL Bachelor's in Information or Computer Science or related field +2 yrs exp. Req'd: 2 yrs exp w/each: research techniques/methods ...

Gotion, Inc.

Data Analyst

Manteno, IL

Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field. * Strong proficiency in Python and experience with libraries such as Pandas, NumPy ...

Sralab

Data Analyst II

Chicago, IL

Bachelor's or Master's degree in Data Science, Social Science, Computer Science, Information ... Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Qualifications & Skills • Bachelor's degree in Computer Science, Data Analytics, Business Management, or equivalent work experience. • 5 years of experience in supply chain or manufacturing ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

Bachelor's or Master's degree in Data Science, Social Science, Computer Science, Information ... Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Chicago, IL

Data Analyst Computer Science information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do data analyst computer science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data analyst computer science in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Chicago, IL as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Data Analyst

WFN Team Indus US Test Client 2

Chicago, IL • On-site

Full-time

Posted 4 days ago

Job description

About the Role:

We are seeking a highly skilled Data Analyst to join our team in the Agriculture industry. As a Data Analyst, you will be responsible for analyzing complex data sets, creating visualizations, and providing insights to support business decisions. Your work will directly impact the success of our organization and contribute to the growth of the Agriculture industry. The ideal candidate will have a strong background in data analysis and a passion for using data to drive business outcomes.

Minimum Qualifications:

  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science
  • 2+ years of experience in data analysis
  • Proficiency in data cleaning, data extraction, and data visualization tools such as Pivot Tables, Power BI, and Tableau
  • Experience with programming languages such as R and SAS

Preferred Qualifications:

  • Master's degree in a quantitative field such as Mathematics, Statistics, or Computer Science
  • Experience in the Agriculture industry
  • Experience with machine learning and predictive modeling

Responsibilities:

  • Collect and analyze large, complex data sets to identify trends and patterns
  • Create visualizations and reports to communicate insights to stakeholders
  • Collaborate with cross-functional teams to identify opportunities for process improvement
  • Develop and maintain data models and databases
  • Stay up-to-date with industry trends and best practices in data analysis

Skills:

As a Data Analyst, you will use your expertise in data cleaning, data extraction, and data visualization to analyze complex data sets and provide insights to support business decisions. You will also use your programming skills in R and SAS to develop and maintain data models and databases. Your ability to collaborate with cross-functional teams and stay up-to-date with industry trends will be critical to your success in this role.