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Data Associate Jobs in Illinois (NOW HIRING)

Data Scanning Associate

Jerseyville, IL ยท On-site

$15 - $19.50/hr

As a Research Associate, you can enjoy the flexibility of choosing when and how much you earn. All you need is reliable transportation to start making money. Why scan with RDSolutions? Choose your ...

Data Scanning Associate

Springfield, IL ยท On-site

$15.75 - $20.50/hr

As a Research Associate, you can enjoy the flexibility of choosing when and how much you earn. All you need is reliable transportation to start making money. Why scan with RDSolutions? Choose your ...

The Senior Associate ensures data reliability and consistency by supporting enterprise data quality standards and contributes to the evolution of analytics and AI capabilities that improve how the ...

Showing results 41-60

Data Associate information

See Illinois salary details

$13

$32

$54

How much do data associate jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data associate in Illinois is $32.05, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $37.98 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a data associate?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Illinois? The most popular types of Data jobs in Illinois are:
What are popular job titles related to Data Associate jobs in Illinois? For Data Associate jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Data Associate jobs? Cities in Illinois with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,664 per year, or $32 per hour.

Principal Associate, Data Scientist - Card DFS Integration

Socket.dev

Chicago, IL โ€ข On-site

$147.10 - $167.90/hr

Other

Posted 3 days ago

New


Job description

Principal Associate, Data Scientist - Card DFS Integration

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of dataโ€‘driven decisionโ€‘making.

As a Data Scientist at Capital One, youโ€™ll be part of a team thatโ€™s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Discover Card Customer Management Data Science team is responsible for ensuring all models used to underwrite the Discover Card portfolio are wellโ€‘managed and creating the destination state that builds on the best of both worlds from both Discoverโ€™s models and Capital Oneโ€™s models.

In this role, you will:
  • Partner with a crossโ€‘functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies โ€“ Python, Conda, AWS, H2O, Spark, and more โ€“ to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity
The Ideal Candidate is:
  • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day itโ€™s about making the right decision for our customers.
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youโ€™re not afraid to share a new idea.
  • Statisticallyโ€‘minded. Youโ€™ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. โ€œBig dataโ€ doesnโ€™t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
  • Masterโ€™s Degree in โ€œSTEMโ€ field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in โ€œSTEMโ€ field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years of experience in Python, Scala, or R
  • At least 3 years of experience with machine learning
  • At least 3 years of experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Chicago, IL: $147,100 - $167,900 for Principal Associate, Data Science

McLean, VA: $161,800 - $184,600 for Principal Associate, Data Science

Riverwoods, IL: $147,100 - $167,900 for Principal Associate, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidateโ€™s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or nonโ€‘discretionary depending on the plan.

Capital One offers a comprehensive, competitive and inclusive set of health, financial and other benefits that support your total wellโ€‘being. Learn more at the Capital One Careers website. Eligibility varies based on full or partโ€‘time status, exempt or nonโ€‘exempt status, and management level.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to nonโ€‘discrimination in compliance with applicable federal, state and local laws. Capital One promotes a drugโ€‘free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23โ€‘A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901โ€‘4920; New York Cityโ€™s Fair Chance Act; Philadelphiaโ€™s Fair Criminal Records Screening Act; and other applicable federal, state and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1โ€‘800โ€‘304โ€‘9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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