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Entry Level Football Data Analyst Jobs in Chicago, IL

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

This is an exciting opportunity for students or entry level candidates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to ...

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Football Data Analyst information

See Chicago, IL salary details

$13

$33

$63

How much do entry level football data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level football data analyst in Chicago, IL is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Football Data Analyst vs Football Operations Assistant?

AspectEntry Level Football Data AnalystFootball Operations Assistant
Required CredentialsBachelor's in Sports Management, Data Science, or related field; basic knowledge of data analysis toolsBachelor's in Sports Management or related field; organizational skills
Work EnvironmentData-focused, analytical tasks, often office-basedOperational support, event coordination, on-field and office work
Employer & Industry UsageSports teams, analytics firms, scouting agenciesFootball clubs, sports organizations, event management
Common Search & ComparisonYesYes

The Entry Level Football Data Analyst primarily focuses on analyzing game data, player statistics, and performance metrics using data analysis tools. In contrast, a Football Operations Assistant handles logistical and operational tasks such as event coordination and team support. While both roles support football organizations, the analyst role is more data-driven, whereas the operations assistant emphasizes organizational and support functions.

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

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

What are popular job titles related to Entry Level Football Data Analyst jobs in Chicago, IL?

For Entry Level Football Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Football Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Entry Level Football Data Analyst jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Football Data Analyst jobs?

Cities near Chicago, IL with the most Entry Level Football Data Analyst job openings:

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 13 days ago


Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.