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Associate Degree In Data Analytics Jobs in Paxton, IL

Wolf Soccer Club

Remote Data Analyst

Champaign, IL · On-site

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ... Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a ...

Droisys

Software Engineer

Champaign, IL · On-site

... data collection and analysis. Train and assist end-users in the use of developed and purchased ... Degree in Computer Science is required Additional Information All your information will be kept ...

Varsity Tutors

Data Analysis Tutor

Champaign, IL · Remote

$18 - $40/hr

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL ...

Saigepartners

Data Engineer

Champaign, IL · On-site

$125 - $135/hr

Bachelor's degree in Computer Science, Engineering, Mathematics, or another quantitative discipline ... Strong analytical and troubleshooting skills with a focus on improving data reliability and quality.

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Paxton, IL

Associate Degree In Data Analytics information

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$3.1K

$6K

$8.6K

How much do associate degree in data analytics jobs pay per month?

As of Sep 5, 2026, the average monthly pay for associate degree in data analytics in Paxton, IL is $6,009.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,450.00 and $6,408.33 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What cities near Paxton, IL are hiring for Associate Degree In Data Analytics jobs?

Cities near Paxton, IL with the most Associate Degree In Data Analytics job openings:

Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in Paxton, IL as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $72,112 per year, or $34.7 per hour.

Remote Data Analyst

Wolf Soccer Club

Champaign, IL • On-site

Other

Posted 5 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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