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- Tasks: Analyse football data to enhance team performance and support coaching strategies.
- Company: Join the iconic Manchester United and be part of their Data & AI Team.
- Benefits: Wellness support, career development opportunities, and a chance to work in sports analytics.
- Other info: Exciting opportunity to grow in a dynamic sports environment.
- Why this job: Make a real impact on football performance using your analytical skills.
- Qualifications: Degree in a STEM subject and experience in football analytics required.
The predicted salary is between 30000 - 40000 £ per year.
Manchester United is seeking a Data Analyst to join their Data & AI Team. This role involves producing match analysis, generating insights from data, and supporting coaching workflows.
Candidates should have a degree in a STEM subject and 1-2 years of experience in football analytics. Proficiency in SQL and Python is essential, alongside strong analytical and communication skills.
The position offers various perks including wellness support and career development opportunities.
Football Data Analyst: Shape Performance with Data in Manchester employer: Manchester United
Contact Detail:
Manchester United Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Football Data Analyst: Shape Performance with Data in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics field, especially those connected to Manchester United. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your match analysis projects or any data insights you've generated. This will help us see your analytical prowess and how you can contribute to the team.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. We want to see how you think and solve problems, so be ready to tackle some practical tasks during the interview process.
✨Tip Number 4
Don’t forget to 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 Football Data Analyst: Shape Performance with Data in Manchester
Some tips for your application 🫡
Show Your Passion for Football: When you're writing your application, let your love for football shine through! Mention any relevant experiences or projects that showcase your enthusiasm for the game and how data can shape performance.
Highlight Your Technical Skills: Make sure to emphasise your proficiency in SQL and Python. We want to see how you've used these skills in previous roles or projects, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to match the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for and how you fit into our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently, plus you’ll find all the info you need about the role there!
How to prepare for a job interview at Manchester United
✨Know Your Stats
Make sure you brush up on your football analytics knowledge. Familiarise yourself with recent match data, player statistics, and how they can influence performance. Being able to discuss specific examples will show your passion and expertise.
✨Show Off Your Skills
Since proficiency in SQL and Python is a must, prepare to demonstrate your skills. You might be asked to solve a problem or analyse a dataset during the interview. Practise coding challenges and be ready to explain your thought process clearly.
✨Communicate Clearly
Strong communication skills are key in this role. Be prepared to explain complex data insights in a way that’s easy to understand. Practise summarising your findings from previous projects, focusing on how they impacted decision-making.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the tools they use, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.