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Data Analytics Computer Science Jobs in Naperville, IL

Data Analytics Engineer - Chicago

Chicago, IL ยท On-site

$120K - $130K/yr

The Role As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics ... Bachelor's degree in Analytics, Computer Science, Engineering, Statistics, Economics, Mathematics ...

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Data Analytics Computer Science information

See Naperville, IL salary details

$24

$54

$94

How much do data analytics computer science jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data analytics computer science in Naperville, IL is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $61.92 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities near Naperville, IL are hiring for Data Analytics Computer Science jobs? Cities near Naperville, IL with the most Data Analytics Computer Science job openings:
Data Analytics Developer - Education & Employment (Remote Eligible)

Data Analytics Developer - Education & Employment (Remote Eligible)

Mathematica

Chicago, IL โ€ข On-site, Remote

$78K - $100K/yr

Full-time

Posted 16 days ago


Job description

Data Analytics Developer - Education & Employment (Remote Eligible)
About Mathematica:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance.
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking an intellectually curious Data Analytics Developer in any of our locations with experience in data management and statistical programming for data analytic and research projects in the Education and Employment area. The Data Analytics Developer will contribute to intensive data wrangling, advanced programming, administrative data collection and/or data management tasks. They will also apply knowledge of programs, policy, and/or data content, as well as econometric and statistical methods, when they acquire, clean, manipulate, manage, and analyze data. These tasks will most often be accomplished using a combination of statistical programming packages like R and Stata, as well as SQL and Python, on both cloud-hosted and more traditional platforms. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in education and employment data are strongly encouraged to apply.
Responsibilities:
  • Write programs in R, Stata, or Python to extract, transform, and wrangle data; create variables for use in analysis.
  • Perform statistical analyses and prepare tables, graphs, and visualizations
  • Providing creative and best practice solutions for data processing optimization
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found

Required Qualifications:
  • A bachelor's degree in economics, data analytics, computer science, statistics, mathematics, or another relevant field
  • 3-5 years of programming experience in a professional or academic environment.
  • Programming experience using R, Stata, Python, or SQL
  • Strong organizational and communication skills, and the ability to work with others.
  • Excellent written and oral communication skills, including an ability to explain technical concepts to a non-technical audience.
  • Subject-matter knowledge of education and/or employment data
  • Has the ability to pass a background investigation or security clearance for federally contracted project work

This position offers an anticipated annual base salary range of $78,000 to $100,000.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (up to three) which best represents your current programming skills. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.