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For Companies At a Glance
- Tasks: Analyse data to support the Men’s Team and create insightful reports.
- Company: Join Chelsea FC, a leading football club with a commitment to innovation.
- Benefits: Enjoy 25 days annual leave, private health insurance, and a pension contribution.
- Why this job: Make an impact in sports analytics while working with cutting-edge technology.
- Qualifications: Degree in sports or quantitative field and experience in data analysis required.
- Other info: Collaborative environment with opportunities for continuous improvement and growth.
The predicted salary is between 28800 - 43200 £ per year.
Overview
JOB TITLE: 1st Team Data Analyst
LOCATION: Cobham
CONTRACT: Permanent, Full Time
The Opportunity
The Data Analyst will support the Men’s Team by delivering data analysis to the Head Coach and Performance Analysis department, playing a crucial role in producing reports across matches, teams and players to best summarise key insights. They will also support the department’s existing technology & systems and collaborate with others to ensure full operability is maintained.
Key Responsibilities
- Data Visualisation & Reporting: Maintain existing and build new interactive dashboards and reports using Power BI, to enable real-time analysis. By understanding how football and data can integrate, create the best visuals and worded summaries to ensure data analysis is translated effectively to non-data specialists.
- SQL Database Usage: Query Microsoft SQL Server, ensuring efficient data storage, retrieval, and processing. Have a knowledge of coding languages, preferably Python, to further analyse and interrogate data.
- Data Application: Understand the data from key providers (Stats Perform, Statsbomb, Second Spectrum, SkillCorner) to best deliver on ad hoc requests, as well as identifying and translating new projects and ideas from coach/analyst to data specialist.
- Cross-Department Collaboration: Work closely with coaching staff and the Data Analytics Team to translate data into consistent actionable insights.
- Football Systems & Technology: Understand sport specific systems (SBG, Hudl, Second Spectrum, IP Cameras, Drones, Microsoft 365, MacOS, etc.) to ensure operability and best practice within the department. Collaborating with the Central Data and Technology departments is crucial.
- Innovation & Continuous Improvement: Stay up to date with the latest trends in football data analytics and technology and recommend new methodologies to enhance insights delivery.
What you will bring to the role
- Bachelor’s or higher degree in a sports or quantitative field (Sport Science, Analysis, or related / Statistics, Data Science, Computer Science, or related).
- Previous experience of working within a professional football club, preferably within a Performance Analysis department, with proven experience of data analysis.
- Strong proficiency in Power BI and Microsoft SQL Server.
- Able to write code, in R/Python, to create custom visuals and interrogate data.
- Experience operating on and building from large datasets.
- Ability to translate complex data into meaningful insights for non-technical stakeholders.
- Knowledge of football analytics and technology including data and systems providers.
- Strong problem-solving skills, including technology-based issues, and attention to detail.
- Excellent communication and collaboration skills within a high-performance environment.
- Willing to work unsociable hours, around the football schedule, to ensure timely delivery of insights throughout the season.
What we can offer you
- 25 days annual leave
- Pension Contribution (Perm & FT Employees 5%)
- Private Health Insurance through Vitality
- Life Assurance (4 x base salary)
Equality, Diversity and Inclusion
At Chelsea we recognise that the diversity of our people is one of our greatest strengths and we are taking positive action to ensure our existing colleagues and job applicants can fully be themselves and bring their own unique experiences and perspectives to Chelsea FC. This means giving full and fair consideration to all applicants regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
If you need reasonable adjustments made to the recruitment process, please reach out to your recruiter, who will be able to advise and support you.
Chelsea FC is fully committed to ensuring the safety and well-being of all children, young people and adults at risk (vulnerable groups). We therefore require all successful applicants to complete a DBS Check prior to starting employment. Depending on the role, successful applicants may also be required to undergo other child protection screening where appropriate.
This Job Description is not intended to be exhaustive; the duties and responsibilities may therefore vary over time according to the changing needs of the Club
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1st Team Data Analyst employer: Chelsea Football Club
Contact Detail:
Chelsea Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 1st Team Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to football analytics. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially using Power BI. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, as practical examples can really impress the hiring team.
✨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 genuinely interested in joining our team.
We think you need these skills to ace 1st Team Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the 1st Team Data Analyst role. Highlight your experience with Power BI, SQL, and any relevant coding skills. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in football and how you can contribute to our team. Keep it engaging and make it personal – we love seeing your personality!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving data visualisation or analysis, be sure to mention them. We want to see your practical experience and how you've applied your skills in real-world scenarios.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Chelsea Football Club
✨Know Your Data Tools
Make sure you’re well-versed in Power BI and Microsoft SQL Server. Brush up on how to create interactive dashboards and reports, as this will be a key part of your role. Be ready to discuss specific examples of how you've used these tools in the past.
✨Understand Football Analytics
Familiarise yourself with the data providers mentioned in the job description, like Stats Perform and Statsbomb. Show that you can translate complex data into actionable insights for non-technical stakeholders, as this is crucial for collaboration with coaching staff.
✨Showcase Your Coding Skills
Be prepared to talk about your experience with coding languages, especially Python or R. You might even want to bring a small project or example of how you've used code to analyse data, as this will demonstrate your technical proficiency.
✨Emphasise Collaboration
Highlight your ability to work closely with different departments. Share examples of how you've successfully collaborated in high-performance environments, as teamwork is essential in this role. Make it clear that you understand the importance of communication in translating data insights.
