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Part Time Football Data Analyst Jobs (NOW HIRING)

AprilAire

Sales Data Analyst-LTE

Madison, WI · On-site

This temporary part-time opportunity is designed to help manage critical operational workloads ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

New Jersey Institute of Technology

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Assistant Professor Position ... FLSA: Non-Exempt Time Type: Part time Pay Rate: Hourly Additional Information: As an EEO employer ...

SMX

Assessments Junior Data Analyst (part-time)

Aiea, HI · On-site

$17 - $30/hr

This role focuses on transforming operational requirements into data-driven solutions through advanced analytics, machine learning models, and data visualization tools. Secret Clearance required ...

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Part Time Football Data Analyst information

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How much do part time football data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for part time football data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a part time football data analyst?

Part time football data analysts are professionals who collect, process, and analyze data related to football matches and players, typically working on a part-time basis. Their main responsibilities include tracking statistics, reviewing match footage, and providing actionable insights to coaches, scouts, or media organizations. These analysts often use specialized software and statistical tools to identify trends and patterns that can influence team strategy or player performance. Working part time allows them to contribute their expertise while balancing other commitments or roles. This position is ideal for individuals with strong analytical skills and a passion for football.

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

To thrive as a Part Time Football Data Analyst, you need a strong understanding of football tactics, data analysis, and statistics, often supported by a relevant degree or experience in sports analytics. Familiarity with data visualization tools (such as Tableau or Power BI), coding languages like Python or R, and football-specific analytics platforms is typically required. Attention to detail, effective communication, and the ability to work independently are standout soft skills in this role. These competencies are crucial for accurately interpreting match data, providing actionable insights, and supporting coaching or scouting decisions.

What are some common challenges faced by part time football data analysts, and how can they be addressed?

Part-time football data analysts often face challenges such as balancing workload with limited hours, staying up-to-date with rapidly changing match data, and ensuring accuracy under tight deadlines. Collaborating closely with coaches and other analysts helps prioritize key data points and streamlines reporting. Utilizing data visualization tools and efficient data management systems can also increase productivity and reduce errors, making it easier to deliver valuable insights even with time constraints.
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Part Time Football Data Analyst jobs near you
Infographic showing various Part Time Football Data Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sales Data Analyst-LTE

AprilAire

Madison, WI • On-site

Part-time

Posted 11 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

Apply