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Data Analyst Computer Science Jobs in Chicago, IL

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field**Preferred Qualifications:**- Understanding of digital advertising or media analytics- Experience with ...

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field Preferred Qualifications: - Understanding of digital advertising or media analytics - Experience with ...

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 ...

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 ...

Data Science Lead Analyst

Schaumburg, IL · On-site

$157K - $163K/yr

... Computer Science or related field and 4 years of experience as a Developer, Data Analyst, Business ... Analyst, Business Relationship Manager, Systems Analyst, Software Engineer or related position.

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 ...

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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 Jun 13, 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 AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

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.
What job categories do people searching Data Analyst Computer Science jobs in Chicago, IL look for? The top searched job categories for Data Analyst Computer Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Analyst Computer Science jobs? Cities near Chicago, IL with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Chicago, IL as of June 2026, with employment types broken down into 1% Internship, 48% Full Time, 44% Part Time, 3% Contract, and 4% Nights. Highlights an 79% Physical, 10% Hybrid, and 11% 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 13 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.