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Data Analyst Computer Science Jobs in Chicago, IL

MaximaTek

Data Analyst

Chicago, IL · On-site

Bachelor's degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required). * Experience: 0-5 years of experience in data analytics ...

Dlapiper

Sr Financial Data Analyst

Chicago, IL · Hybrid

Bachelor's degree in Finance, Economics, Accounting, Data Science/Analytics, Computer Science or related field. Minimum Years of Experience * 4 years' experience as a Financial/Business/Data Data ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

$71.20 - $124.50/hr

## Data Analyst IIApplylocations: Chicago, ILtime type: Full timeposted on: Posted Yesterdayjob ... Bachelor's or Master's degree in Data Science, Social Science, Computer Science, Information ...

Gotion, Inc.

Data Analyst

Manteno, IL · On-site

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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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 Aug 21, 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.

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.

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

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.

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 problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

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:

Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Chicago, IL as of August 2026, with employment types broken down into 75% Full Time, 8% Part Time, and 17% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Data Analyst

MaximaTek

Chicago, IL • On-site

Other

Posted 15 days ago

Job description

About the Role: Data Analyst

We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional teams. In this role, you will analyze complex datasets, maintain data pipelines, and partner with stakeholders to solve business problems and optimize performance.

Core Responsibilities

  1. Data Analysis & Insights: Collect, clean, and analyze large datasets to identify trends, patterns, and operational performance metrics.
  2. Dashboard & Reporting: Design, build, and maintain interactive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
  3. Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key performance indicators (KPIs) and deliver actionable recommendations.
  4. Data Modeling & Querying: Write efficient SQL queries to extract data from databases and data warehouses, maintaining data accuracy and integrity.
  5. Process Automation: Streamline data collection and reporting workflows using scripting languages like Python or R.
  6. Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies to ensure consistency and quality control.

Qualifications

  1. Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required).
  2. Experience: 0–5 years of experience in data analytics, business intelligence, or reporting.
  3. Technical Skills (Required):
  • Strong proficiency in SQL for data querying and extraction.
  • Hands-on experience with data visualization platforms (Power BI, Tableau, Looker).
  • Solid understanding of relational databases and data warehouse concepts.
  • Scripting ability in Python or R for data analysis and manipulation (Pandas, NumPy).
  • Advanced knowledge of Microsoft Excel (PivotTables, Advanced Formulas, Power Query).
  1. Preferred Skills:
  • Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist).
  • Familiarity with cloud analytics environments (AWS Redshift, Google BigQuery, Snowflake).
  • Knowledge of statistical methods and basic predictive modeling techniques.

What We Offer

  1. Targeted Placement: Direct marketing to our network of hiring managers in the Data, Technology, and Business Analytics sectors.
  2. Technical Resume Rebuild: Optimization of your profile to highlight data analytics tools, SQL proficiency, and business impact.
  3. Interview Coaching: Guidance on behavioral questions, SQL technical assessments, and data case studies.

Ready to Take the Next Step?

Email your updated resume to: yashwanth.phani@maximatek.com

Apply