Senior Football Data Analyst

TheASPA
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Scientist

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Overview

Senior Football Data Analyst | Manchester United FC (Jobs in Sport Performance Analysis)


Senior Football Data Analyst
Location: Old Trafford Stadium/ Carrington Training Complex
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.


We work together at our iconic Manchester United offices, enabling connection and innovation as we look ahead to what we can achieve as a global football club. We are excited to bring in passionate people who share our vision and drive for success.


The Role:


Manchester United is on an exciting journey to become a fully data-driven club, using insights to make better decisions, support our people, and drive success on and off the pitch. To make this happen, we’re building a world-class data and technology function, backed by modern infrastructure, talented teams, and trusted data products that help everyone do their best work.
As part of this journey, we are looking for a Senior Football Data Analyst who can combine structured thinking, technical rigour and domain insight to help drive high-impact decisions.
This is a role for someone who can break down complex problems, interrogate large datasets, and build clear, compelling narratives tailored to stakeholders across the club, adapting content and communication style for technical staff, coaches, and board-level decision-makers alike. It may suit experienced analysts from football, but also strategists, consultants or financial analysts with a strong interest in football and a desire to work in a fast-paced, outcome-driven sporting environment.


The Person:


Key Responsibilities


As Senior Football Data Analyst, you will:



  • Deliver structured, data-led analysis across recruitment, performance and technical football strategy. Translating outputs into clear, actionable insight tailored to stakeholders at all levels of the club, from coaches to the board.
  • Build compelling, executive-ready reports and PowerPoint presentations that communicate both technical detail and strategic insight, tailored to stakeholders such as the board, coaching staff, and performance teams.
  • Work hands-on with data in Python and SQL, building repeatable workflows for decision support.
  • Design and develop intuitive visualisations that bring insights to life.
  • Collaborate across the Football Data group, including scientists, engineers, and analysts, as well as with coaches, scouts and football executives.
  • Help shape the club’s analytical culture by embedding rigour, clarity and pragmatism into every layer of insight.

What We’re Looking For


We’d love you to bring:



  • Proven experience in structured analytical roles, such as in football analysis, management consulting, investment analysis, or strategic finance.
  • Excellent problem structuring and communication skills, with the ability to move from open-ended questions to focused, actionable outputs.
  • Strong technical skills in Python and SQL, with experience manipulating large and complex datasets.
  • A solid understanding of football, including tactical principles and contextual performance analysis, or a demonstrable interest and willingness to learn quickly.
  • A sharp eye for visual communication and experience with tools like D3.js, Dash, Plotly, or similar.

Desirable (but not essential)



  • Experience working with tracking or physical performance datasets.
  • Familiarity with cloud-based analytical environments (e.g. Databricks, Azure).
  • A background in decision support, commercial insight or applied statistics.

What We Offer:


At Manchester United, we recognise that our people are at the heart of our success. That’s why we offer a range of rewards designed to support your professional and personal well-being:



  • 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

Our Commitment to You:


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.


Ready to Join Us?


If this sounds like the perfect role for you, please submit your application by Wednesday 13th August 2025.


Manchester United is committed to safeguarding children and vulnerable adults, and as part of this commitment, all candidates will undergo a Disclosure and Barring Service check and reference checks.


If you need any adjustments to help you perform at your best during the recruitment process, please feel free to contact us, and we will be happy to discuss them with you.


It is unlawful to employ a person in a UK-based job who does not have permission to live and work in the UK. You should make yourself aware of how immigration laws apply to you before applying for any of our roles.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.