At a Glance
- Tasks: Analyse football data to provide insights for matchday performance and coaching strategies.
- Company: Join the iconic Manchester United, a leader in global football.
- Benefits: Enjoy wellness support, exclusive discounts, gym access, and career development opportunities.
- Other info: Diverse and inclusive workplace with a focus on individual growth.
- Why this job: Be part of a transformative team driving data-driven success in football.
- Qualifications: Degree in STEM or equivalent experience; 1-2 years in football analytics.
The predicted salary is between 40000 - 50000 ÂŁ per year.
At Manchester United, we believe that excellence on the pitch starts with excellence off the pitch. Our team thrives in a high-performance environment, united by a shared passion for success. We aim to elevate the standard of performance through collaboration and continuous growth, creating a space where everyone can contribute their best to our common goals.
You’ll be part of the Data & AI Team, playing a key role in the club’s transformation into a fully data-driven organiser. The team delivers powerful insights, builds trusted data products, and operates modern data platforms that enable better decisions and success on and off the pitch.
We’re looking for a Senior Football Data Analyst to play a key part in this transformation. In this role, you will deliver data insights across the matchday calendar. You will work closely with coaches and performance video analysts across the men’s first team, women’s first team, and academy to identify trends, deliver pre‑ and post‑match analysis, executive‑level performance reporting, and structured performance reviews. The team provides data and insight across all footballing environments, and this role is the primary analytical link between coaching staff and the wider data programme.
Key Responsibilities- Produce pre‑ and post‑match analysis reports, including opponent profiling and performance summaries.
- Support the matchday calendar across all competitions, with analysis outputs timed to coaching workflows across the men’s first team, women’s first team, and academy.
- Deliver executive‑level performance reporting to senior football and club leadership.
- Contribute to structured performance reviews across players, units, and opponents.
- Build and maintain trusted relationships with coaching and analysis staff.
- Explore and interpret raw event data to surface insights, collaborating with coaches and video analysts to test hypotheses.
- Proactively generate insights to inform decision making in the performance space.
- Flexibility to work weekends and evenings in line with the matchday calendar, with time off in lieu provided accordingly.
- Educated to degree level or above in STEM subject, or equivalent experience.
- 1‑2 years of experience in football analytics or elite sport performance.
- Demonstrable ability to work with raw football event data independently—querying, aggregating, and interpreting it without relying on pre‑built dashboards.
- Proficiency in SQL; comfortable writing queries to answer open‑ended football questions.
- Comfortable using Python for data analysis and exploration.
- Meticulous attention to detail, particularly when working with large datasets and producing outputs for senior audiences.
- Strong analytical thinking with the ability to translate data into clear, football‑relevant insight.
- Confident communicating findings to both technical colleagues and non‑technical football staff.
- Skilled in data visualisation and presentation with a strong understanding of football tactics and performance metrics.
- Curious and self‑motivated approach to football data – someone who explores beyond the ask.
- Exposure to event data providers.
- Annual incentive scheme.
- Wellness Support with access to mental health resources, digital health checks, and nutritionists through Aviva Digicare+ Workplace.
- Exclusive Discounts through our United Rewards platform, giving you access to exclusive deals from the club and partners.
- Gym Facilities in our onsite locations and opportunities for regular social events and team‑building activities.
- Enhanced family Leave Benefits and an opportunity to purchase additional holiday days.
- Enhanced Career Development with access to professional learning platforms like LinkedIn Learning, and internal training programs.
- A Supportive Work Environment that values diversity, equity and inclusion, and individual growth.
At Manchester United, we believe that a diverse and inclusive environment makes us stronger. We are committed to building a team where everyone feels welcomed, valued, and empowered to contribute their unique perspectives. Diversity, equity and inclusion are at the core of our recruitment strategy, and we welcome applicants from all backgrounds.
Senior Football Data Analyst in Manchester employer: Manchester United FC
Contact Detail:
Manchester United FC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Football Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Manchester United on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your previous work in football analytics. Bring it along to interviews or share it during networking events to demonstrate your expertise and passion for the game.
✨Tip Number 3
Stay updated with the latest trends in football data analysis. Follow relevant blogs, podcasts, and social media accounts. This will not only help you in interviews but also show that you're genuinely interested in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Manchester United family.
We think you need these skills to ace Senior Football Data Analyst in Manchester
Some tips for your application 🫡
Show Your Passion for Football: When writing your application, let your love for football shine through! We want to see how your passion aligns with our vision at Manchester United. Share any relevant experiences that highlight your commitment to the sport and data analysis.
Be Specific About Your Skills: Make sure to detail your experience with SQL and Python in your application. We’re looking for someone who can dive into raw data and extract meaningful insights, so don’t hold back on showcasing your technical skills!
Tailor Your Application: Take the time to customise your application for this role. Highlight your previous work in football analytics and how it relates to the responsibilities outlined in the job description. This shows us you’ve done your homework and are genuinely interested in the position.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at Manchester United FC
✨Know Your Data Inside Out
Make sure you’re well-versed in football analytics, especially how to work with raw event data. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your ability to query and interpret data during the interview.
✨Understand the Club's Vision
Familiarise yourself with Manchester United’s approach to data-driven decision-making. Show that you share their passion for excellence both on and off the pitch, and be ready to discuss how your insights can contribute to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples of how you've previously generated insights from data, and be ready to explain your thought process clearly to both technical and non-technical audiences.
✨Build Rapport with Interviewers
Since this role involves collaboration with coaches and analysts, demonstrate your interpersonal skills. Be friendly and engaging, showing that you can build trusted relationships within a high-performance environment.