At a Glance
- Tasks: Analyse performance data to support England pathway teams and coaches.
- Company: The FA, a leading organisation in football development.
- Benefits: Competitive salary, professional growth, and a chance to impact football at all levels.
- Other info: Exciting opportunity to work with top coaches and contribute to strategic planning.
- Why this job: Join a passionate team and shape the future of football in England.
- Qualifications: Experience in performance analysis and strong analytical skills.
The predicted salary is between 30000 - 40000 £ per year.
The FA is recruiting a Performance Analyst to join the Performance Analysis department. You will provide analytical support across England pathway teams, delivering insights into team, player and opposition performance, while collaborating with England National Team coaches and MDT to shape tactical development and playing principles. You will develop bespoke metrics and live tracking to inform coaching decisions, support talent identification, and contribute to long-term strategic planning.
England Pathway Performance Analyst employer: The Football Association
The Football Association is an exceptional employer, offering a dynamic work culture that prioritises professional development and collaboration within the FA Learning division. As a Casual Quality Developer, you will benefit from extensive opportunities to enhance your coaching skills while contributing to the growth of the coaching workforce in a supportive environment that values your insights and experiences.
StudySmarter Expert Advice🤫
We think this is how you could land England Pathway Performance Analyst
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We think you need these skills to ace England Pathway Performance Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
