ZipRecruiter

Log In

1

Data Analytics Graduate Jobs in Illinois (NOW HIRING)

American

Data Journalism Editor, IRW

Campus, IL

$70K - $80K/yr

The Data Editor works withother editorsand internsand graduate fellowson data collection, data cleaning, data management, data analysis, and data visualizations. The DataJournalismEditor reports to ...

InterPark

Business Intelligence Analyst

Chicago, IL · On-site

Bachelor's degree in Business, Finance, Economics, Statistics, Data Analytics, Mathematics, or a ... Graduate of an analyst development or rotational program. Additional Qualifications * Must submit a ...

Argonne National Laboratory

Data Scientist

Lemont, IL · On-site

$94 - $181/hr

A graduate degree in physics or physical chemistry and experience using advanced statistical methods for data analysis * Possess familiarity with machine learning techniques applicable to problems ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

The School of Computing (SoC) offers a variety of undergraduate and graduate programs including ... Students gain advanced skills in data analytics. multivariate analysis, machine learning, and ...

American

Program Manager, SIS Graduate Education

Campus, IL · Hybrid

$31.87 - $34.07/hr

They also collect and analyze data to improve strategic decision-making, including benchmarking ... Essential Functions: 1.) Graduate Program Management * This position works with the Associate Dean ...

previous page

Showing results 41-60

All JobsData Analytics Graduate JobsData Analytics Graduate Jobs in Illinois

Data Analytics Graduate information

See Illinois salary details

$23

$53

$91

How much do data analytics graduate jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics graduate in Illinois is $53.05, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.10 per hour, depending on experience, location, and employer.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Illinois?

The most popular types of Data Analytics Graduate jobs in Illinois are:

What are popular job titles related to Data Analytics Graduate jobs in Illinois?

For Data Analytics Graduate jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Analytics Graduate jobs in Illinois look for?

The top searched job categories for Data Analytics Graduate jobs in Illinois are:

What cities in Illinois are hiring for Data Analytics Graduate jobs?

Cities in Illinois with the most Data Analytics Graduate job openings:

Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,346 per year, or $53.1 per hour.

Physical Data Scientist - Statistical Analysis of Experimental Data

Argonne National Laboratory

Lemont, IL • On-site

$116K - $181K/yr

Full-time

Posted 23 days ago

Key responsibilities

  • Develop and apply new machine learning and statistical analysis methods for processing experimental data

  • Maintain, enhance, and document existing statistical analysis methods used by the group

  • Collaborate with software engineers to support the transition of algorithms from research to prototype-ready deployment

Job description

We are seeking a talented Data Scientist to join the Field Intelligence Element (FIE). The FIE enables Argonne National Laboratory to provide products and services to DOE's Office of Intelligence and Counterintelligence (DOE-IN), the Intelligence Community (IC), and non-IC federal agencies.

Primary Responsibilities:

  • Develop and apply new machine learning and statistical analysis methods for processing experimental data

  • Maintain, enhance, and document existing statistical analysis methods used by the group

  • Collaborate with software engineers to support the transition of algorithms from research to prototype-ready deployment

  • Assist in long-term planning of project direction and scope as new opportunities arise.

  • Assist software engineers with in-field integration, testing, and operational support of new algorithms

  • Conduct testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation

  • Ability to travel up to 15% of the time, including domestic and international field travel to deploy, test, develop, and collect data on sensor and monitoring systems.

Position Requirements

  • A graduate degree in physics, physical chemistry, or similar field and experience using advanced statistical methods for data analysis

  • Possess familiarity with machine learning techniques applicable to problems with limited training data

  • Ability to program in a variety of languages, including Python and R

  • Familiarity with nuclear physics and gamma spectroscopy

  • Familiarity with both Bayesian and frequentist statistical concepts and methods

  • Experience applying statistical concepts to detection/classification problems

  • To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. The selected candidate will be required to obtain and maintain a clearance. Please see http://www.state.gov/m/ds/clearances/c10978.htm for more information about requirements for obtaining a security clearance process

The selected candidate will be placed at the appropriate level (RD2 or RD3) depending upon the depth and breadth of relevant knowledge, skills, and experience brought to the position. The requirements for the desired levels are as follows:

  • RD2 Level: Bachelors and 5+ years; Master's and 3+ years; Doctorate and 0+ years in physics or physical chemistry, or equivalent. The expected pay range for this position is $94,486 - $147,399.

  • RD3 Level: Bachelor's and 8+ years; Master's and 5+ years; Doctorate and 4+ years in physics or physical chemistry, or equivalent. The expected pay range for this position is $116,250 - $181,350.

Job Family

Research Development (RD)

Job Profile

Software Engineering 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Apply