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Data Analyst Computer Science Jobs in Illinois (NOW HIRING)

... 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 ...

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Data Analyst Computer Science information

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 Illinois look for? The top searched job categories for Data Analyst Computer Science jobs in Illinois are:
What cities in Illinois are hiring for Data Analyst Computer Science jobs? Cities in Illinois with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Illinois as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 27% Part Time, 1% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Data Analyst

WFN Team Indus US Test Client 2

Chicago, IL โ€ข On-site

Full-time

Posted 8 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.