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Data Analyst Computer Science Jobs in Illinois (NOW HIRING)

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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Data Analyst Computer Science information

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.
What cities in Illinois are hiring for Data Analyst Computer Science jobs? Cities in Illinois 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 Illinois as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst

Data Analyst

Spruce Infotech

Lake Forest, IL • On-site

Contractor

Posted 21 days ago

Job description

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate data migration and integration across systems.
Key Responsibilities
  • Gather, analyze, and document business and data requirements.
  • Perform source-to-target data mapping for data migration, integration, and reporting projects.
  • Analyze complex datasets to identify data quality issues, inconsistencies, and transformation requirements.
  • Create and maintain mapping documents, data dictionaries, and metadata repositories.
  • Work with business users to understand data elements, relationships, and business rules.
  • Validate data mappings and transformation logic through testing and reconciliation activities.
  • Collaborate with ETL developers, Data Engineers, and QA teams to ensure accurate implementation of mappings.
  • Conduct data profiling and data quality assessments.
  • Support data governance initiatives by documenting data lineage and business definitions.
  • Prepare reports, dashboards, and analytical insights as required.
Required Skills
  • 5+ years of experience as a Data Analyst.
  • Strong experience in Data Mapping and Source-to-Target Mapping (STM).
  • Proficiency in SQL for data analysis and validation.
  • Experience with data migration, data integration, and ETL processes.
  • Strong understanding of relational databases and data models.
  • Experience with data profiling and data quality analysis.
  • Ability to create detailed mapping specifications and functional documentation.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Skills
  • Experience with ETL tools such as Informatica, Talend, SSIS, or DataStage.
  • Knowledge of cloud data platforms (AWS, Azure, or GCP).
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Familiarity with data governance and master data management concepts.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

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