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Soccer Data Analytics information

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$24.7K

$60.9K

$104.6K

How much do soccer data analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for soccer data analytics in Florida is $60,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $72,100.00 per year, depending on experience, location, and employer.

What is a soccer data analytics job?

A Soccer Data Analytics job involves analyzing data related to player performance, team tactics, and match statistics to derive insights that can improve decision-making. Analysts use data visualization, statistical models, and machine learning to assess player strengths, predict outcomes, and optimize strategies. They work with coaches, scouts, and front offices to provide data-driven recommendations for player recruitment, game tactics, and performance evaluation. Their role is crucial in modern soccer, where data helps gain a competitive edge.

What are the key skills and qualifications needed to thrive in soccer data analytics, and why are they important?

To thrive in Soccer Data Analytics, a strong background in statistics, programming (such as Python or R), and a solid understanding of soccer tactics are generally required, often with a degree in data science, mathematics, or a related field. Familiarity with data visualization tools like Tableau, sports data platforms such as Opta, and certifications in analytics can further enhance your profile. Excellent communication, attention to detail, and the ability to work collaboratively with coaches and technical staff are valuable soft skills. These qualities are vital for extracting actionable insights that directly impact team performance and decision-making.

What does a typical day look like for someone working in soccer data analytics?

A typical day in Soccer Data Analytics involves collecting and cleaning match and player data, performing statistical analyses, and creating visual reports to present findings to coaches and stakeholders. Analysts often work closely with coaching staff to tailor insights to current team strategies and may attend training sessions or matches to gain contextual understanding. Collaboration with other analysts, scouts, and performance departments is common, ensuring a shared approach to improving player performance and team tactics. The role balances independent analytical work with cross-functional teamwork, providing a dynamic and fast-paced work environment.

What are the most commonly searched types of Soccer Data Analytics jobs in Florida?

The most popular types of Soccer Data Analytics jobs in Florida are:

What are popular job titles related to Soccer Data Analytics jobs in Florida?

For Soccer Data Analytics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Soccer Data Analytics jobs in Florida look for?

The top searched job categories for Soccer Data Analytics jobs in Florida are:

Soccer Data Analytics jobs near you
Infographic showing various Soccer Data Analytics job openings in Florida as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $60,918 per year, or $29.3 per hour.

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

Boca Raton, FL • On-site

$15 - $18.75/hr

Other

Re-posted 25 days ago

Job description

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only  Semester: Fall 2025 Location: Remote 

Overview of the United Soccer League (USL)The United Soccer League (USL) is the heartbeat of American soccer. Impacting more than 200 communities across the United States, the USL is the first and only soccer organization in the United States to build a youth-to-professional pathway for both men and women within one ecosystem. That structure includes three professional leagues: Gainbridge Super League (women), USL Championship (men), and USL League One (men); two pre-professional leagues: USL League Two (men) and the USL W League (women); and two youth platforms: USL Academy and USL Youth. Authentic, vital, and exciting, the USL is dedicated to providing an inclusive and memorable soccer experience for players, fans, and communities across our growing "soccer nation."

Program Purpose

Under the direction and guidance of USL Executives and Leaders (mentors), the USL Work Experience Program (UWEP) provides students with the unique opportunity to gain practical sport management experience in a professional sports league setting. By working on various strategic projects and initiatives, UWEP participants will gain hands on experience with league staff as well as member teams.

Participants are tasked with and responsible for partnering within a specialized department but will interact with all league departments across the organization including business development, digital, club services, analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. 

Position Purpose

Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results.

Duties and Responsibilities

Specific duties include, but are not limited to:

  • Assist with the routine collection of data and updating of established Tableau dashboards.
  • Build Tableau dashboards to track performance in key metrics towards league goals and initiatives.
  • Identify opportunities to implement procedures for new data collection processes and/or data reporting.
  • Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions. 
  • Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
  • Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations.
  • Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements.
  • Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports.

Qualifications

  • Participants must be working towards a bachelor’s or master’s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
  • Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
  • Excellent verbal and written communication skills are required. 
  • Positive attitude and strong work ethic are a must. Must have a “team-first” mentality with an eagerness to learn. 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency. 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection. 
  • Familiarity of Tableau, or another data visualization software.
  • Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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