1st Team Data Analyst in London

1st Team Data Analyst in London

London Full-Time 30000 - 40000 € / year (est.) No home office possible
TheASPA

At a Glance

  • Tasks: Analyse data to support Chelsea FC's Men's Team and deliver actionable insights.
  • Company: Join the iconic Chelsea FC and be part of a winning team.
  • Benefits: Enjoy 25 days annual leave, private health insurance, and a pension contribution.
  • Other info: Collaborative environment with a commitment to diversity and inclusion.
  • Why this job: Make an impact in sports performance analysis at one of the world's top football clubs.
  • Qualifications: Degree in sports or quantitative field; experience in data analysis and football analytics.

The predicted salary is between 30000 - 40000 € per year.

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 include:

  • 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

Our commitment to 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.

1st Team Data Analyst in London employer: TheASPA

Chelsea FC is an exceptional employer, offering a dynamic work environment where data analysts play a pivotal role in enhancing team performance through insightful analysis. With a strong commitment to employee growth, the club provides opportunities for continuous learning and innovation, alongside competitive benefits such as private health insurance and generous annual leave. Located in the heart of London, Chelsea FC fosters a culture of collaboration and inclusivity, ensuring that every team member can contribute their unique perspectives to the success of the club.

TheASPA

Contact Detail:

TheASPA Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land 1st Team Data Analyst in London

Tip Number 1

Get to know the club inside out! Research Chelsea FC's recent matches, player stats, and performance trends. This will not only help you in interviews but also show your genuine interest in the role.

Tip Number 2

Network like a pro! Connect with current or former employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Performance Analysis department.

Tip Number 3

Show off your skills! Create a portfolio showcasing your data visualisation projects, especially using Power BI. This can be a game-changer in demonstrating your ability to translate complex data into actionable insights.

Tip Number 4

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 Chelsea FC family!

We think you need these skills to ace 1st Team Data Analyst in London

Data Analysis
Data Visualisation
Power BI
Microsoft SQL Server
SQL Querying
Python
R

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data analysis in football. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!

Show Off Your Technical Skills:Since this role involves SQL and Power BI, be sure to mention any specific projects where you've used these tools. We love seeing practical examples of how you've turned data into actionable insights!

Keep It Clear and Concise:When writing your application, aim for clarity. Use straightforward language to explain complex concepts, as we need to know you can communicate effectively with non-technical stakeholders.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at TheASPA

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. Being able to demonstrate your proficiency with these tools during the interview will show that you're ready to hit the ground running.

Understand Football Analytics

Familiarise yourself with the latest trends in football data analytics and the specific systems mentioned in the job description, like Hudl and Second Spectrum. Showing that you can translate complex data into actionable insights for coaches will set you apart from other candidates.

Prepare for Technical Questions

Expect questions about coding in Python or R, especially regarding how you would use these languages to interrogate data. Be ready to discuss past experiences where you’ve applied these skills, as practical examples will help illustrate your capabilities.

Show Your Collaborative Spirit

This role requires working closely with coaching staff and other analysts. Prepare examples of how you've successfully collaborated in previous roles, highlighting your communication skills and ability to work in a high-performance environment. This will demonstrate that you’re not just a data whiz, but also a team player.