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Remote Football Data Analyst Jobs in Madison, WI

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

... support analytics and business intelligence initiatives. The ideal candidate will have a deep ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Recommend enhancements to improve data accessibility, visualization, and spatial analysis capabilities It is anticipated that this position will be remote and requires work be performed at an offsite ...

Rural Mutual Insurance

Actuarial Analyst

Madison, WI · On-site +1

Description Join Rural Mutual Insurance's Actuarial team and help drive data-informed decisions ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

DataAnnotation

Treasury Analyst - AI Trainer

Madison, WI · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsFootball Data Analyst JobsRemote Football Data Analyst JobsRemote Football Data Analyst Jobs in Madison, WI

Remote Football Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137K

How much do remote football data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote football data analyst in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 per year, depending on experience, location, and employer.

What is a remote football data analyst?

A Remote Football Data Analyst is a professional who analyzes football (soccer) data and statistics to provide insights on team performance, player metrics, and match outcomes, all while working from a remote location. They use various data sources and analytical tools to interpret match data, identify trends, and support coaching staff, scouts, or media organizations. Their work may include creating reports, visualizing data, and building statistical models to inform decisions. This role typically requires strong analytical skills, proficiency in data analysis software, and a deep understanding of the game.

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

To thrive as a Remote Football Data Analyst, you need strong analytical skills, a solid understanding of football tactics, and a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools like Python, R, SQL, and specialized sports analytics platforms such as Opta or Wyscout is typically required. Attention to detail, effective communication, and the ability to work independently are essential soft skills for remote collaboration and insight delivery. These skills enable accurate data interpretation, actionable insights, and effective support for coaching or management decisions in a competitive sports environment.

How do remote football data analysts typically collaborate with coaching staff and scouts despite working off-site?

Remote Football Data Analysts regularly use digital communication tools and data visualization platforms to share insights with coaching staff and scouts. Collaboration often involves scheduled video meetings, sharing dashboards, and providing real-time data interpretations to support tactical decisions. While not physically present, analysts are integral to pre- and post-match briefings, and their ability to convey complex data clearly is crucial in helping the team understand and utilize the insights effectively.

What is the difference between Remote Football Data Analyst vs Remote Sports Data Analyst?

AspectRemote Football Data AnalystRemote Sports Data Analyst
Required CredentialsDegree in Sports Analytics, Data Science, or related field; knowledge of football statisticsDegree in Sports Analytics, Data Science, or related field; broad sports knowledge
Work EnvironmentRemote, often with sports teams, analytics firms, or media companiesRemote, employed by sports organizations, media outlets, or analytics agencies
Industry UsageFocused on football-specific data analysis and performance metricsAnalyzes data across multiple sports, including football, basketball, and others
Common Search/ComparisonOften compared for specialization in footballBroader sports analysis roles

The Remote Football Data Analyst specializes in football-specific data, requiring knowledge of football metrics and analytics. In contrast, the Remote Sports Data Analyst covers multiple sports, offering a broader scope. Both roles share similar credentials and work environments but differ in industry focus and specialization.

What are popular job titles related to Remote Football Data Analyst jobs in Madison, WI?

For Remote Football Data Analyst jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Remote Football Data Analyst jobs in Madison, WI look for?

The top searched job categories for Remote Football Data Analyst jobs in Madison, WI are:

What cities near Madison, WI are hiring for Remote Football Data Analyst jobs?

Cities near Madison, WI with the most Remote Football Data Analyst job openings:

Remote Football Data Analyst jobs near you
Infographic showing various Remote Football Data Analyst job openings in Madison, WI as of June 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.

Sales Data Analyst-LTE

AprilAire

Madison, WI • Remote

Part-time

Posted 17 days ago

Job description

Overview
Join us during a busy season as a Sales Data Analyst-LTE! We are seeking a detail-oriented and analytical professional to provide immediate support for a high-volume sales claims processing function. This temporary part-time opportunity is designed to help manage critical operational workloads, improve process documentation, and support the Finance team during a busy season. 
 
Start: ASAP
End: Minimum 3 month, could be extended to January/Feburary depending on workload 
Schedule: 20 hours per week, flexible on work hours within 7am-6pm 
Work Style: Remote--candidate must live within a 75 mile radius of Madison, WI 

Responsibilities

The primary focus of this role will be supporting sales claim back processing and related operational activities, including:

  • Processing and administering customer claim backs for our sales team 
  • Assisting with sales claim back reconciliation and documentation
  • Supporting existing sales claim back workflows currently handled by multiple team members
  • Documenting processes, procedures, and best practices
  • Supporting sales transfer activities as needed
  • Utilizing automation tools and chatbot solutions developed to enhance claim back processing efficiency
  • Identifying opportunities for process improvements and operational efficiencies
  • Maintaining accurate records and ensuring data integrity

Qualifications
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Qualifications:
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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