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- Tasks: Transform complex data into actionable insights for professional football clubs.
- Company: Join Smartodds, a dynamic team in North London focused on sports analytics.
- Benefits: 30 days holiday, in-house chef, private medical insurance, and more!
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make an impact in football by bridging data and decision-making.
- Qualifications: Experience with R, SQL, and a passion for football analytics.
The predicted salary is between 35000 - 45000 £ per year.
We have a fantastic new opportunity to join our team at Smartodds as a Data Analyst. Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms. We are proud of our collaborative and dynamic culture, grounded in our core values of Boldness, Open-mindedness, Ownership, and Togetherness. We are a supportive and collaborative team - our environment is open, inclusive, and focused on doing great work together.
About the role
As a Data Analyst you will play a key role in supporting professional football clubs by transforming complex data into actionable insights that inform decision-making across performance, recruitment and operations. Acting as the bridge between raw data and end users within a club environment, you will ensure that analysts, coaches, and performance staff can easily access and interpret the information they need with ease. This will involve developing R packages to enable technical users to query and work with club data, while also creating intuitive dashboards and reports—both interactive and static—that allow non-technical stakeholders to explore insights in a clear and user-friendly way.
Key Responsibilities
- Develop R packages to retrieve, manipulate, analyse and expose data
- Produce interactive or static reports to allow users to explore and digest data
- Conduct ad hoc analysis as required, to answer performance, recruitment, and opposition related questions from football clubs
- Collaborate with Quants, Software Developers and Data Engineers, to understand data needs and ensure data is stored and delivered in the most efficient and appropriate manner
- Assist Junior Data Analysts to ensure integrity and accuracy of our data
Person Specification (Skills & Experience)
Required
- Good knowledge of R, including experience building applications with Shiny
- Knowledge and experience of database technologies (e.g. SQL server, PostgreSQL, Redis)
- Hands-on experience working with football event data
- Strong understanding of football analytics concepts and how data can be applied across recruitment, performance, and opposition analysis
- A fantastic work ethic with excellent attention to detail, intuition and an ability to manage and prioritise several projects simultaneously
- Strong communication and presentation skills, with the ability to translate complex data insights into clear, actionable recommendations for a non-technical audience
- Solid understanding of statistical modelling techniques and their practical application in a sports analytics context
Preferred
- Bachelor's degree in a quantitative field (Statistics, Data Science, Computer Science, or similar).
- Experience working with a football club’s performance analysis department, with a strong understanding of the performance analysis processes.
- Experience processing and analysing player tracking data at scale
- Familiarity with physical/GPS data outputs
- Experience using Version Control
- Familiar with Linux operating system
- Proficiency in Spanish is desirable but not essential
Others
- Ability to work in the UK
What you can expect in return – Our Benefits
- From Day One 30 days holiday (in addition to bank & public holidays)
- In-house chef*
- In-house masseuse*
- Team sporting events
- 25% discount on Brentford Football Club merchandise
- Cycle to work scheme
- Employee Assistance Programme
- Interest-free travel season ticket loan
- Offsite trips*
- *Available on selected days
- After 3 Months Pension - Employer Contribution starting at 5.5%, and employee starting at 2.5%
- Income protection – 75% of salary (subject to terms & conditions)
- After Probation Private Medical Insurance - including coverage of any excess payment
- Health Cash Plan via Medicash
- Life Assurance (4 x times earnings at time of death)
- Enhanced Company Sick Pay
- A discretionary annual bonus
- After 2 Years Increase in Employer Pension to 6% (to a minimum employee contribution of 3%)
- Enhanced Maternity Pay
- Enhanced Paternity Pay
- After 4 Years Increase in Employer’s Pension to 7% (to a minimum employee contribution of 3.5%)
Data Analyst in London employer: Smartodds
Contact Detail:
Smartodds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Smartodds or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially any work related to football analytics. This will not only demonstrate your expertise but also your passion for the sport.
✨Tip Number 3
Prepare for the interview by brushing up on your R skills and understanding of football analytics concepts. Be ready to discuss how you can transform complex data into actionable insights that can help teams make better decisions.
✨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 awesome team at Smartodds.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with R, SQL, and any relevant football analytics projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and football, and explain why you’d be a great fit for our team. Let us know how you can contribute to our collaborative culture.
Showcase Your Projects: If you've worked on any cool data projects, especially in sports, make sure to mention them! Include links to dashboards or reports you've created. We love seeing practical examples of your work.
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Smartodds
✨Know Your R Inside Out
Make sure you brush up on your R skills before the interview. Be ready to discuss your experience with building applications using Shiny and how you've used R packages in past projects. This will show that you're not just familiar with the language, but that you can apply it effectively in a real-world context.
✨Showcase Your Data Storytelling Skills
Prepare to explain how you've transformed complex data into actionable insights in previous roles. Think of specific examples where your analysis directly influenced decision-making, especially in a sports context. This will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Familiarise Yourself with Football Analytics
Since this role is heavily focused on football, make sure you understand key concepts in football analytics. Brush up on how data can be applied across recruitment, performance, and opposition analysis. Being able to speak the language of football will help you connect with the interviewers and show your passion for the sport.
✨Prepare Questions About Collaboration
Given the collaborative culture at Smartodds, come prepared with questions about how teams work together. Ask about their processes for collaborating with Quants, Software Developers, and Data Engineers. This shows that you value teamwork and are eager to integrate into their dynamic environment.