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Data Analyst Computer Science Jobs in Chicago, IL

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Launch your data science or technical analyst career by building AI and analytics solutions that ... Bachelor's degree or higher in data science, computer engineering, electrical engineering or ...

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 ...

B.S. degree in Engineering, Computer Science, Information Systems, or a related discipline. * Three to five years' experience (or more) in data analysis, web application development, analytics or ...

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

Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting ... Bachelor's degree in Accounting, Finance, Statistics, Economics, Computer Science, Mathematics or ...

Preference for degree in environmental science, environmental management or environmental engineering • Strong problem solving, data analytic, and database management skills • Excellent attention ...

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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 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.
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 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.

Actuarial Data Analyst

Core Specialty

Chicago, IL • Hybrid

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

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The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth

Key Accountabilities/Deliverables:

  • Execute analysis on data to identify and correct data issues. Extracting data from various sources and transforming that data to perform analysis and create actionable visualizations.

  • Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept and across the organization.

  • Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.

  • Help Others Succeed: Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership and analytical skills are needed to provide a solution. As mentioned, we all work and grow together! The more successful one member is, the more successful we all are.

  • Listen to, understand, and break down questions into manageable tasks.

  • Use a variety of applications and technologies to answer simple and complex questions.

  • Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, Programs and others as needed


Technical Knowledge and Understanding:

  • Intellectual curiosity: Seeking understanding of the answers to, whys of data. Uncovering patterns in data and visuals that some might take for granted and researching. Looking for trends and outliers that may be actionable.

  • Openness to grow and change: the Company is in its infancy regarding our data environment and our analytics platform. Will need to be agile, willing to lean new techniques and tools with us as we grow.

  • Candor: Openness to providing and receiving constructive feedback to facilitate both individual development as well as elevating the overall capabilities of the Company

  • Communication skills: Willingness to ask questions to gain understanding; collaborate effectively both with direct colleagues as well as those in other functional areas; ability to influence and gain buy-in from key stakeholders.


Experience:

  • Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like.

  • 1-3 years of experience in a professional environment working with data, analytics.

  • Functional knowledge, aptitude and understanding of basic data/analytics principles: One to many relationships, many to many relationships, reuse and linkage, data quality, validation data modeling and more.

  • Experience with/or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases and other relational data containers.

  • Experience and/or aptitude in a Microsoft Fabric environment and the tool set included: Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents, prompt engineering.

  • Ability to convert raw data into usable and visualized representations that convey understanding and/or enables accurate execution of needed action.


The expected pay range for the role is $70,000 - $75,000. The specific offer will depend on an applicant's skills and experiences. The disclosed pay range estimate may also be adjusted for the applicable geographic differential for the location in which the position is filled.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.
#LI-Hybrid

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At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program