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Data Analytics Computer Science Jobs in Peoria, IL

Bachelor's degree in Engineering, Computer Science, or other Technical field; or proven work ... Build analytics products and decision-support tools that combine machine learning outputs, curated ...

Lead Data Scientist

Morton, IL · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... Must be able to have prolonged periods sitting at a desk and working on a computer. * Must be able ...

Systems Engineer

Chillicothe, IL · On-site

$90K - $110K/yr

... computer science and mathematical analysis to the design, development, testing, and evaluation of ... Perform data collection, validation, and quality assurance activities to ensure accurate and ...

Power BI Intern

Peoria, IL · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

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Data Analytics Computer Science information

See Peoria, IL salary details

$24

$53

$92

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

As of Aug 26, 2026, the average hourly pay for data analytics computer science in Peoria, IL is $53.72, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $60.87 per hour, depending on experience, location, and employer.

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 cities near Peoria, IL are hiring for Data Analytics Computer Science jobs?

Cities near Peoria, IL with the most Data Analytics Computer Science job openings:

Data Scientist II - Data Algorithms & Optimization

Jobtailor

Peoria, IL • On-site

$110 - $160/hr

Other

Posted 20 days ago


Job description

Responsibilities
  • Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Partner with cross‑functional teams to define analytical requirements and translate business questions into data science solutions.
  • Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
  • Communicate insights and model results clearly to technical and non‑technical stakeholders.
  • Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.
Requirements
  • Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
  • Extensive hands‑on experience: applying Python programming to solve business challenges.
  • Advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
  • Practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
  • Working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • In‑depth technical and problem‑solving skills and evidence of continuous learning in the analytics field.
  • Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.).
  • Advanced experience with version control / repositories such as GitHub.
  • Experience operating in an Agile environment.
  • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
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