Demand and Pay For Data Analysts in Football Shows Data Has Reached The Dugout

Data Roles Now Sit Across The Football Operation

Data analytics is no longer just a luxury for elite football clubs. As teams attempt to make sharper decisions and smaller competitive gains, data analysis has spread to lower divisions and amateur competitions. 

This is great news for football fans who work in tech or who are looking to move into this sector, as there is now a growing number of football-focused data jobs in the UK. Here are four of the most common and best-paid roles: 

Football Data Analyst: 

Average salary: £38,000

A Football Data Analyst sits where football judgement meets evidence. Your work could touch player selection, recruitment, opposition scouting, training analysis and tactical review. One week might mean building a dashboard on pressing intensity. The next might mean helping recruitment staff compare full-backs across leagues.

Much like other Data Analyst roles, you’ll be collecting, cleaning and studying match, training and player data. With a football focus, you’ll be turning raw numbers into reports coaches can use. Commonly requested skills on job descriptions include:

• Good knowledge of data analysis and data visualisation

• Confident using SQL databases, Microsoft Power BI, DAX and other similar tools

• Understanding of programming languages like Python and R

• Willingness to utilise new technologies and analytical tools 

Sports Performance Analyst:

Average salary: £36,000

In this role, you’ll be breaking down video, training loads, tactical patterns, and key performance indicators. On a day-to-day basis, you’ll be working closely with the first-team coaching staff. Commonly requested skills on job descriptions include:

• Strong understanding of football tactics

• Confident with insight reporting and data management

• Proficiency in Mac OS, Microsoft Office, and Hudl software

• High competence in using video and data to deliver actionable feedback

Sports Data Analyst: 

Average salary: £38,000

As a Sports Data Analyst, you’ll look beyond one club or one squad to build datasets, dashboards, and reports for sports organisations, media, agencies, or betting-adjacent analytics firms. Commonly requested skills on job descriptions include:

• Confident using data programming languages like R, Python, and SQL

• Excellent communication skills

• High attention to detail and a structured, methodical approach to problem-solving

• Able to process and organise large amounts of information, using tools like Excel and Tableau

Football Data Scientist:

Average salary: £54,000

A Football Data Scientist role pushes deeper into mathematics, machine learning and automation. You’ll be building models, testing predictions, and automating insight. This role is ideal for experienced data professionals who are looking to progress into senior leadership and specialise. Commonly requested skills on job descriptions include:

• Proficiency with Python, SQL, R, HTML, Oracle, JavaScript and other statistical programming software 

• Strong machine learning and predictive modelling skills

• Understanding of algorithms and statistics

• Excellent attention to detail and organisational skills 

How to Build the Data Skills Football Clubs Can Use

You do not need to have played professionally to break into football analytics. Football knowledge helps, but it is not the entry ticket on its own. Clubs need people who can organise messy data, spot patterns, build clean dashboards and explain insights under pressure. 

Advice from our resident data expert and top football fan...

"I recommend developing a solid portfolio that helps you stand out in the job market: use it to showcase match reports, Tableau dashboards, Power BI visuals, simple player models or recruitment comparisons. Start with Python or R, SQL, statistics and Power BI or Tableau, then build projects around real match questions. Consider volunteering with a local club - if not, use public data and create work that a club would actually use."

 Whether you need to build foundational data skills or are an experienced professional looking to upskill, our data analytics courses can provide you with the skills needed to build dashboards and effectively handle and visualise data. If coding is the missing piece, Python and SQL training can strengthen the route into analyst roles. Speak to a Career Consultant today to get started.