Data Roles Hit 3.2% of Football Hiring as Clubs Chase Smarter Decisions
Data and analytics roles within UK football clubs are rising significantly. If you can build a dashboard, query a database, or tell a clear story using numbers, you may be closer than you think.
Now that we’re into the 2026-27 season, many football fans still assume the only way into the game is as a player, coach or scout; however, this is not the case.
Clubs are hiring analysts, scientists and data specialists in numbers that would have seemed unthinkable a decade ago, and you don’t need a boot deal to apply.
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As a Career Consultant at Learning People, Jack offers one-to-one personal guidance to those wanting to launch or expand their career in tech, IT, code, cloud, or data.
Football Clubs Have Become Data Businesses
New figures reported by Euronews show data and analytics roles reached a record 3.2% of UK football-club recruitment in the year to June 2026. In 2018 this figure was 1.5%, signifying that demand for data and analytics roles within football has more than doubled in less than a decade.
Club job postings have significantly risen from 247 million UK vacancies in 2018 to 714 million in 2025, meaning that between 2018 and 2025 this figure has nearly tripled. The surge continues as Indeed projects that there have already been 722 million FC job posts just in 2026 alone.
Certain clubs now employ up to 1,000 people, equating to roughly 40 times the size of a Premier League squad. The sheer volume of staff means that teams within FCs will be running operations that look just as much like sport, media, retail, and technology businesses as football clubs.
Where Analysts Actually Fit in
Data plays a pivotal role in shaping modern football operations; performance metrics allow clubs to identify where possession is lost, evaluate player endurance in the final stages of matches, and dissect opposition tactical strategies.
Beyond match performance:
- Recruitment departments leverage these insights to scout talent across global leagues.
- Medical teams track player workloads to reduce injury risks.
- Commercial divisions analyse ticket sales, fan interaction, and brand partnerships.
That's why club job boards now list such a wide spread of titles just within data, such as Performance Analyst, Data Analyst, Data Scientist, Analyst, Data Science Intern, as they are essentially all doing a version of the same job of turning raw information into a decision someone can act on.
Clubs are not short of data, but there is a current lack of people who can signal, test, and present data so coaches, scouts, executives, and commercial teams can harness it.
The Numbers Only Do Half the Job
A great model is worthless if it is not being acted upon; therefore, analysts need to have the skills to explain what the data demonstrates, why it matters, and what the next step should be.
This means that the soft skills of communication and critical thinking matter just as much as the technical build.
Research carried out by Psychology Today assesses that communication, teamwork, leadership, time management, focus, and resilience are skills that transfer beyond sport. All of which are needed in football analysis, such as working to match-day deadlines, defending your findings when they're challenged, and staying composed when a recommendation doesn't land.
“Technical ability helps with getting your foot in the door, but the analysts who have a successful career specifically in football are the ones who can explain and defend their numbers in a room full of coaches and executives who don’t think in spreadsheets. This is a skill you can build and prove before you ever apply.”
Kickstart your Career in Data
If you want a career in football data, you must be able to prove you are proficient in data programs; examples include:
- Spreadsheets (e.g. Excel, Google Sheets): The foundation for almost any Data Analyst role.
- SQL: For querying and structuring match, player and commercial data.
- Data visualisation: Allows you to turn numbers into something a coach or executive can understand in seconds.
- Python: Where the role calls for deeper modelling in terms of programming.
Our Data Analytics courses help you build the practical, industry-relevant skills clubs and data-led employers are actually hiring for. Speak to a Career Consultant today to find out how a data career could work for you.
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