At a Glance
- Tasks: Analyse football data to provide insights that elevate performance on the pitch.
- Company: Join the iconic Manchester United team, where passion meets excellence.
- Benefits: Annual incentives, wellness support, and access to mental health resources.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in football by transforming data into actionable insights.
- Qualifications: Experience in data analysis, Python skills, and a passion for football.
The predicted salary is between 40000 - 60000 £ 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. 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
- You’ll be part of the Data team, 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.
- Desirable (but not essential) exposure to event data providers.
What We Offer
- Annual incentive scheme
- Wellness Support with access to mental health resources, digital health checks.
Senior Football Data Analyst employer: Manchester United
Contact Detail:
Manchester United Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Football Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the football data analysis field, especially those connected to Manchester United. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to football. This will not only demonstrate your expertise but also your passion for the game, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your football knowledge and data analysis techniques. Be ready to discuss how you've used Python and data visualisation to solve real-world problems. Confidence is key, so practice articulating your insights clearly!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who share our vision. Make sure your application reflects your enthusiasm for football and your analytical skills – it could be your ticket to joining our team!
We think you need these skills to ace Senior Football Data Analyst
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 or insights that demonstrate your commitment to the sport.
Highlight Your Analytical Skills: Make sure to showcase your analytical prowess in your application. Detail your experience with Python and data analysis, and don’t forget to mention any specific projects where you’ve turned data into actionable insights. We’re looking for someone who can translate numbers into football narratives!
Be Meticulous with Details: Attention to detail is key, especially when dealing with large datasets. In your application, emphasise your meticulous nature and provide examples of how you've ensured accuracy in your previous work. This will show us that you can handle the demands of the role.
Communicate Clearly: Your ability to communicate findings effectively is crucial. Use your application to demonstrate how you can convey complex data insights to both technical and non-technical audiences. We want to see that you can bridge the gap between data and football strategy!
How to prepare for a job interview at Manchester United
✨Know Your Football Data
Make sure you brush up on your football data knowledge before the interview. Understand key performance metrics and be ready to discuss how you would analyse them. This will show your passion for the sport and your analytical skills.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and data visualisation tools. You might be asked to solve a problem or analyse a dataset during the interview, so practice writing queries and presenting your findings clearly.
✨Communicate Clearly
Since you'll need to explain complex data insights to non-technical staff, practice simplifying your findings. Use relatable examples from football to illustrate your points, making it easier for everyone to understand your analysis.
✨Emphasise Collaboration
Highlight your experience working in teams and how you contribute to a collaborative environment. Manchester United values teamwork, so share examples of how you've worked with others to achieve common goals in previous roles.