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Data Analyst Computer Science Jobs in Naperville, IL

Bachelor's degree or higher in computational biology, bioinformatics, statistics, computer science ... Practical experience in either large-scale genomics data analysis or statistical/AI/ML method ...

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 ...

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.

Bachelor's degree in Computer Science, Information Systems, Data Analytics, ora related field. * 2+ years of experience in data analysis, with a strong focus on Salesforce administration and advanced ...

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field. * 2+ years of experience in data analysis, with a strong focus on Salesforce administration and ...

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 ...

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

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

Senior Data Analyst- Enterprise

Chicago, IL · On-site

$88.60K - $111.80K/yr

Senior Data Analyst- Enterprise At Capital One, data is at the center of everything we do. When we ... Computer Science or a related quantitative field) plus at least 2 years of experience performing ...

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Data Analyst Computer Science information

See Naperville, IL salary details

$33.9K

$82.5K

$135.8K

How much do data analyst computer science jobs pay per year?

As of May 30, 2026, the average yearly pay for data analyst computer science in Naperville, IL is $82,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

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.

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 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 popular job titles related to Data Analyst Computer Science jobs in Naperville, IL? For Data Analyst Computer Science jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Naperville, IL look for? The top searched job categories for Data Analyst Computer Science jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Data Analyst Computer Science jobs? Cities near Naperville, IL with the most Data Analyst Computer Science job openings:
Data Analyst

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

106th of 529 rated colleges and universities


Job description

Department
BSD HGD - Unassigned Lab
About the Department
The newly established Chen Lab (https://siwei-lab.org/) is based in the Department of Human Genetics at the University of Chicago. Our research strives to catalyze repeated traversal of the 'genomic medicine cycle,' driving the discovery, biological understanding, and clinical translation of the genetic underpinnings of human disease. Our lab plays a leading role in multiple international consortia, including Epi25, the International League Against Epilepsy (ILAE), and the Genome Aggregation Database (gnomAD). Leveraging advances in genomics technologies, we have made seminal discoveries that elucidate the genetic basis underlying conditions ranging from severe neurodevelopmental disease to population-level phenotypic variation. Our work has been published in high-profile journals including Nature, Nature Genetics, Nature Neuroscience, and others. We are currently expanding efforts to build large-scale data commons for human complex disorders and to integrate emerging technologies such as AI to drive the next wave of genomic and biomedical discovery.
Job Summary
We are seeking a highly motivated and detail-oriented Data Analyst to join our team in advancing large-scale genomic studies. There are multiple (non-exclusive) exciting projects you may contribute to:
• Genetic association analysis to discover genes and mutations driving disease risk.
• Multi-omics analysis to reveal biological processes underlying disease phenotypes.
• Statistical and AI/ML method development to enhance and expand the approaches above.
• Software and web platform development to support the dissemination of findings.
All of these projects are supported by well-funded international consortia (Epi25, ILAE, and gnomAD) where we lead flagship projects that have generated highly impactful and collaborative science over the years. The overarching goal is to better understand the genetic basis of human diseases and translate discoveries into novel therapeutic strategies.
As a member of our team, you will gain hands-on experience working with real-world data at the population level and/or in clinical setting. These datasets include genomic and phenotypic information from hundreds of thousands of individuals and represent several of the largest initiatives of their kind worldwide. You will have the opportunity to collaborate with an international, interdisciplinary network of leading researchers and clinicians and to produce results with direct clinical and public health implications.
Responsibilities
  • Discusses, plans, and carries out research in a stimulating and collaborative environment.
  • Processes and analyzes large-scale genomics datasets for disease association studies.
  • Develops and/or applies statistical and AI/ML models for biologically informed gene discovery and variant interpretation.
  • Builds and implements computational workflows for data quality control, annotation, and downstream analyses.
  • Summarizes findings in reports, manuscripts, and presentations for internal and external dissemination.
  • Maintains well-documented, reproducible code and workflows.
  • Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
  • May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
  • Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
  • Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Education:
  • Bachelor's degree or higher in computational biology, bioinformatics, statistics, computer science, AI/ML, or a related quantitative field.

Technical Skills or Knowledge:
  • Basic knowledge of genetics principles.
  • Proficiency in programming languages and working with high-performance or cloud computing environments.
  • Practical experience in either large-scale genomics data analysis or statistical/AI/ML method application to biological data.
  • Familiarity with omics datasets and modern statistical/AI/ML methodologies in biology.

Preferred Competencies
  • Strong organizational skills, attention to detail, and work independently and in a team setting.
  • Proactive mindset with strong communication skills to work effectively in an interdisciplinary team.
  • Enthusiasm for initiating innovative secondary analyses, such as integration with multimodal functional and clinical data from external resources.

Application Documents
  • Resume/CV (required)
  • Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$24.04 - $31.25
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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