At a Glance
- Tasks: Transform performance data into insights that enhance player development and coaching decisions.
- Company: Join Brentford FC Women, a progressive and innovative football programme.
- Benefits: Part-time role with opportunities for growth in a dynamic environment.
- Other info: Inclusive workplace committed to equality and safeguarding.
- Why this job: Make a real impact in women's football while developing your analytical skills.
- Qualifications: Degree in relevant field and passion for women’s football required.
The predicted salary is between 30000 - 40000 £ per year.
- Performance & Data Analyst (Women's Football) | Brentford FC
- 18 July 2026 | Analysis
- Brentford FC Women are looking for an ambitious
Performance & Data Analyst to join their expanding Women’s Football department.
This exciting part‑time opportunity is ideal for an aspiring analyst looking to accelerate their development within a progressive, data‑driven football environment.
Working closely with the Head Coach, Performance Lead and Physical Performance Coach, you will help transform performance data into meaningful insights that enhance player development, support coaching decisions and contribute to the continued growth of the programme.
The Role
Operating across training and matchdays, you will deliver performance analysis, GPS monitoring, video workflows and reporting that provide coaches with timely, actionable insights.
You will also play an important role in helping Brentford FC Women build scalable analysis systems while contributing ideas that shape the future of performance analysis within the programme.
- Performance Analysis & Insights
- Transform performance data into meaningful insights that support coaching and player development.
- Identify trends, performance opportunities and potential risks.
- Produce clear and engaging reports that inform decision‑making.
- Promote evidence‑based practice throughout the programme.
- Football, Physical & Data Integration
- Work collaboratively with coaching and performance staff to integrate technical, tactical and physical performance data.
- Support player monitoring through combined GPS, video and football intelligence.
- Deliver insights aligned to coaching objectives and individual development plans.
- Matchday Analysis
- Manage GPS operations including player allocation, uploads and quality assurance.
- Coordinate video downloads, uploads and distribution across platforms including Hudl, Veo and Driblab.
- Deliver match coding and post‑match reporting.
- Ensure performance information is validated and delivered promptly to coaching staff.
- Training Support
- Manage training GPS systems and player monitoring processes.
- Support training data collection, organisation and reporting.
- Work alongside physical performance staff to ensure data accuracy and accessibility.
- Technology & Innovation
- Maximise the use of existing technologies including Hudl, Driblab and GPS systems.
- Improve analysis workflows and reporting processes.
- Explore innovative approaches to performance intelligence and football analytics.
- Contribute to the long‑term development of the club’s performance insight systems.
Applicants should demonstrate
- Degree in Sports Science, Performance Analysis, Data Analytics, Computer Science or a related discipline.
- Strong understanding of football performance analysis and data‑informed coaching.
- Knowledge of data collection, validation and reporting processes.
- Understanding of training load monitoring and athlete performance.
- Passion for women’s football.
- Excellent organisational and communication skills.
- Ability to work evenings, weekends and around training and match schedules.
- Postgraduate qualification (or currently studying) in Sport Analytics or Data Science.
- Experience within football or elite sport.
- Knowledge of opposition analysis and live match coding.
- Experience using GPS systems and athlete monitoring technologies.
- Coaching qualifications or coaching experience.
Experience with some or all of the following is desirable
- Hudl
- Veo
- Driblab
- Python
- Power BI
- Tableau
The successful candidate should be comfortable combining video, physical and performance data into clear, actionable insights for coaches and players.
Brentford FC offers an exciting opportunity to become part of one of the fastest‑growing women’s football programmes in England.
The club prides itself on innovation, collaboration and continuous improvement, providing an environment where aspiring analysts can learn, contribute and develop alongside experienced practitioners.
Equality, Diversity & Safeguarding
Brentford FC is committed to creating an inclusive workplace and actively encourages applications from individuals of all backgrounds.
The club also places safeguarding at the heart of everything it does, with all successful applicants expected to uphold its safeguarding responsibilities and policies.
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Performance & Data Analyst (Women's Football) | Brentford FC in London employer: TheASPA
Joining Newcastle United FC as a Senior Recruitment Analytics Lead offers a unique opportunity to work at the heart of football, where your expertise in data analysis will directly influence recruitment strategies and team success. The club fosters a collaborative and innovative work culture, providing ample opportunities for professional growth and development within the dynamic environment of sports analytics. Located in the vibrant city of Newcastle upon Tyne, employees enjoy a rich cultural scene and a passionate community that shares a love for football.
StudySmarter Expert Advice🤫
We think this is how you could land Performance & Data Analyst (Women's Football) | Brentford FC in London
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like TheASPA.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at TheASPA and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Performance & Data Analyst (Women's Football) | Brentford FC in London
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at TheASPA aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at TheASPA
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with TheASPA.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to TheASPA.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at TheASPA, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at TheASPA will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
