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Junior Data Analyst Jobs in Springfield, 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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The ideal Data Analyst for their team is adept in current computing technologies, highly organized and team-oriented, and pays attention to detail. Contract Duration: 1 year The Data Analyst is ...

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The Data Analyst will be responsible for collecting, querying, and analyzing data to support investigative duties and develop reports to assist in case assessments. Responsibilities : • collecting ...

NEOGOV is seeking a Data Analyst to join the Illinois Attorney General's Office, responsible for collecting and analyzing data to support investigative duties. The role involves running queries ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

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Junior Data Analyst information

See Springfield, IL salary details

$34.2K

$78.6K

$126.4K

How much do junior data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior data analyst in Springfield, IL is $78,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $80,800.00 per year, depending on experience, location, and employer.

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

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

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

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

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

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

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

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

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

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

Infographic showing various Junior Data Analyst job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,646 per year, or $37.8 per hour.

Remote Data Analyst

Wolf Soccer Club

Springfield, IL • On-site

Other

Posted 2 days ago

New


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.