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Data Analyst Jobs in Mahomet, IL (NOW HIRING)

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 ...

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$31.7K

$77K

$126.7K

How much do data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst in Mahomet, IL is $77,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Mahomet, IL?

The most popular types of Data Analyst jobs in Mahomet, IL are:

What are popular job titles related to Data Analyst jobs in Mahomet, IL?

For Data Analyst jobs in Mahomet, IL, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Mahomet, IL look for?

The top searched job categories for Data Analyst jobs in Mahomet, IL are:

What cities near Mahomet, IL are hiring for Data Analyst jobs?

Cities near Mahomet, IL with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Mahomet, IL as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,004 per year, or $37 per hour.

Remote Data Analyst

Wolf Soccer Club

Champaign, IL • On-site

Other

Posted 6 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.