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- Tasks: Analyse and visualise data to support a leading football club's performance.
- Company: Join a prestigious football club in Greater London with a passion for sports analytics.
- Benefits: Enjoy 25 days annual leave, pension contributions, and healthcare benefits.
- Why this job: Make an impact in the sports industry while developing your data skills.
- Qualifications: Bachelor's degree in a quantitative field and proficiency in SQL and Power BI.
- Other info: Great opportunity for career growth in a dynamic sports environment.
The predicted salary is between 30000 - 48000 £ per year.
A leading football club in Greater London is seeking a Data Analyst to support data collection, analysis, and visualization. The ideal candidate will have a Bachelor's degree in a quantitative subject with 0-2 years' experience in data analytics. Proficiency in SQL and Power BI is essential.
The role offers attractive benefits including:
- 25 days of annual leave
- Pension contribution
- Healthcare
Join us to contribute to our commercial performance and insights efforts.
Data Analyst - Sports Analytics & BI Dashboards employer: Chelsea FC
Contact Detail:
Chelsea FC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Sports Analytics & BI Dashboards
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field, especially those connected to the football club you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially using Power BI. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on SQL queries and data analysis techniques. We recommend practising common interview questions related to data analytics so you can confidently showcase your knowledge.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team and contributing to their success.
We think you need these skills to ace Data Analyst - Sports Analytics & BI Dashboards
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Power BI skills in your application. We want to see how you can use these tools to make a real impact in sports analytics!
Tailor Your CV: Don’t just send out the same CV everywhere! Tailor it to match the job description. Mention any relevant projects or experiences that align with data collection and analysis in sports.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data analytics and how you can contribute to our team. Make it personal and engaging!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Chelsea FC
✨Know Your Data Tools
Make sure you brush up on your SQL and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical knowledge and readiness for the role.
✨Understand the Football Industry
Familiarise yourself with the football club's recent performance and any data-driven decisions they've made. This will not only impress your interviewers but also help you demonstrate how your analytical skills can contribute to their commercial performance.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and visualisation. Practice explaining your thought process when solving data problems, as this will showcase your analytical mindset and problem-solving abilities.
✨Show Enthusiasm for Sports Analytics
Let your passion for sports analytics shine through during the interview. Share any personal projects or experiences related to sports data, as this will help you connect with the interviewers and show that you're genuinely interested in the role.
