Senior Football Data Analyst

TheASPA
Manchester
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Football Data Scientist | Manchester United FC

Senior Football Data Engineer: Build Data Pipelines

Senior Football Data Engineer

Senior Data Analyst

Senior Football Data Scientist — Shape Data-Driven Football

Senior Football Data Scientist — Drive Data-Driven Performance

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.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.