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Data Analyst No Degree Jobs in Springfield, IL (NOW HIRING)

NEOGOV

Data Analyst 26-03

Springfield, IL · On-site

The Data Analyst will be responsible for collecting, querying, and analyzing data to support ... Required : • Bachelor's degree in economics, information technology, computer science, accounting ...

NEOGOV

Data Analyst 23-E-36

Springfield, IL · On-site

NEOGOV is seeking a Data Analyst to join the Illinois Attorney General's Office, responsible for ... Required : • Bachelor's degree in economics, information technology, computer science, accounting ...

State of Illinois

Research Analyst

Springfield, IL · On-site

No matter what state career you're looking for, we offer jobs that fit your life and your schedule ... Data Collection and Management * Assist in collecting, coordinating, and processing data submitted ...

State of Illinois

Research Analyst

Springfield, IL · On-site

No matter what state career you're looking for, we offer jobs that fit your life and your schedule ... Data Collection and Management * Assist in collecting, coordinating, and processing data submitted ...

State of Illinois

Research Analyst

Springfield, IL · On-site

No matter what state career you're looking for, we offer jobs that fit your life and your schedule ... Data Collection and Management * Assist in collecting, coordinating, and processing data submitted ...

Stryker

Data Science Intern - Remote

Springfield, IL · On-site

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... This job typically requires no experience. * The data science intern will help drive proactive and ...

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All JobsData Analyst No Degree JobsData Analyst No Degree Jobs in Springfield, IL

Data Analyst No Degree information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do data analyst no degree jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst no degree in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

Can I become a data analyst without a degree?

Yes, it is possible to become a data analyst without a formal degree. Many employers value practical skills in data analysis tools like Excel, SQL, and Python, as well as experience with data visualization platforms. Earning relevant certifications, building a strong portfolio, and gaining hands-on experience through internships or personal projects can help you break into the field. Networking and continuous learning also play a significant role in advancing your data analyst career without a degree.

What are the key skills and qualifications needed to thrive as a data analyst without a degree?

To thrive as a Data Analyst without a degree, you need strong analytical abilities, proficiency in data manipulation, and a solid understanding of statistics, often gained through self-study, online courses, or certifications. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Critical thinking, attention to detail, and effective communication set candidates apart by enabling them to interpret data and present insights clearly. These skills are crucial for transforming raw data into actionable business intelligence that supports decision-making.

What opportunities for career advancement are available to data analysts without a formal degree?

Many organizations value practical experience and demonstrable skills over formal education for Data Analyst roles. Data Analysts without a degree can advance by consistently delivering high-quality insights, learning advanced analytical tools, and pursuing industry-recognized certifications (like Google Data Analytics or Microsoft Certified Data Analyst). Networking within the company, seeking mentorship, and taking on cross-functional projects can also open doors to more senior analyst positions or specialized roles such as data engineering or business intelligence. Continuous skill development and a strong portfolio of completed projects are key to progressing in this field.

What is the difference between Data Analyst No Degree vs Data Scientist?

AspectData Analyst No DegreeData Scientist
Required CredentialsOften no formal degree required; certifications like Microsoft Excel, SQL, or Tableau helpfulTypically requires a bachelor's degree in a related field; advanced degrees like a master's or PhD common
Work EnvironmentBusiness, finance, marketing teams; often in office settingsResearch labs, tech companies, large enterprises; may involve more complex data modeling
Employer & Industry UsageUsed across industries for data reporting and analysisUsed for predictive modeling, machine learning, and advanced analytics

While Data Analysts with no degree focus on data reporting and basic analysis, Data Scientists typically require higher education and handle complex data modeling and predictive analytics. Both roles are vital in data-driven industries, but the level of technical expertise and educational background differs significantly.

What job categories do people searching Data Analyst No Degree jobs in Springfield, IL look for?

The top searched job categories for Data Analyst No Degree jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Data Analyst No Degree jobs?

Cities near Springfield, IL with the most Data Analyst No Degree job openings:

Data Analyst No Degree jobs near you
Infographic showing various Data Analyst No Degree job openings in Springfield, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,905 per year, or $39.4 per hour.

Remote Data Analyst

Wolf Soccer Club

Springfield, IL • On-site

Other

Posted 7 days ago

Job description

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering competitive performance and player development. Based in Naperville, IL, the club focuses on providing structured training, data-informed coaching, and a positive environment for athletes of varying skill levels. The organization values teamwork, discipline, and continuous improvement, both on and off the field. Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth.
Role Description The Remote Data Analyst at Wolf Soccer Club is a full-time position responsible for collecting, cleaning, and analyzing soccer-related and organizational data to support coaching, operations, and strategic planning. On a day-to-day basis, this role will design and maintain data models, create reports and dashboards, and translate complex analyses into clear insights for staff and leadership. The Data Analyst will collaborate with coaches, administrators, and other stakeholders to identify key performance indicators, track trends, and recommend data-driven improvements. Although the role is focused on data tasks that can be performed remotely, this is an on-site role located in Naperville, IL, requiring regular presence at the club’s facilities for meetings, data collection, and collaboration.
Qualifications
  • Strong Analytical Skills and Data Analytics capabilities, with experience interpreting quantitative data to inform decisions.
  • Proficiency in Statistics, including descriptive and inferential methods relevant to performance and operational analysis.
  • Experience with Data Modeling to structure, organize, and maintain data for reporting and forecasting.
  • Effective Communication skills to present findings clearly to non-technical stakeholders and collaborate across teams.
  • Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau).
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, or equivalent practical experience.
  • Ability to work independently, manage multiple projects, and meet deadlines in a dynamic sports environment.
  • Interest or experience in sports analytics, particularly soccer, is highly beneficial.

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