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- Tasks: Analyse data and deliver insights for sports clients while optimising processes.
- Company: Futures Sport + Entertainment, a leading research agency in the sports industry.
- Benefits: Hybrid working, structured training, and a great benefits scheme.
- Why this job: Join a dynamic team and make an impact in the sports business world.
- Qualifications: 2+ years in data analysis or sports business, coding skills in SQL or Python.
- Other info: Opportunities for career progression and collaboration with tech and client teams.
The predicted salary is between 36000 - 60000 £ per year.
Futures Sport + Entertainment is a leading research and consulting agency in the sports industry, with offices in London, New York and Sydney. We work with the foremost domestic and international sports leagues, teams, and sponsors, advising on how they should optimise their investments for increased return. We deliver exceptional client servicing and provide unrivalled commercial insights by listening carefully to our clients’ needs.
In this hybrid role, you will work closely with both the Tech team and client-facing teams, supporting the delivery of media and sponsorship analytics projects. The role is highly challenging and will require strong analytical skills, creativity in translating complex insights into clear and compelling client reports, and the ability to collaborate effectively as part of a team. You will contribute to the optimisation of processes and analytical workflows, identifying efficiencies and driving continuous improvement, while also developing and working with advanced computer vision models to support data-driven insights. This is an opportunity to work directly with clients, apply cutting-edge technology, and play a key role in shaping scalable, high-impact analytical solutions.
We feel strongly about developing our talent and have a great record of employees progressing within the company. Progression is supported through structured training as well as both formal and informal support from the team. We offer regular team days, hybrid working, and a great benefits scheme.
Key Responsibilities- Analysing, designing, and optimising end-to-end processes to improve efficiency, scalability, and performance across systems and workflows
- Managing and analysing data to then deliver bespoke commercial insights to our clients
- Creating reports and presenting the findings to clients, including recommendations and the business implications of the analysis
- Managing client expectations and internal stakeholders
- Immersing yourself in the world of sport, data and business to add value to the team and our clients
- 2+ years of relevant research, data analysis, management consulting and/or sports business experience
- Passion for sports and knowledge of the sports business industry
- Experience with coding and data science software (e.g., SQL, Python, R)
- Excellent analytical and problem-solving skills
- Understanding of computer vision models (e.g., Custom Vision)
- Advanced Microsoft Excel and PowerPoint skills
- Excellent verbal and written communication skills
- Strong organisational skills, time management, and attention to detail
Interested? Then send a CV and cover letter to us. As part of your cover letter, please answer the following questions: Why Futures? What are your relevant skills and interests? Why should we progress your application over and above your peers?
Analyst (UK) in London employer: Futuressport
Contact Detail:
Futuressport Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst (UK) in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports industry, especially those connected to Futures. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your analytical skills! Prepare a mini-project or case study related to sports analytics. This will not only demonstrate your expertise but also your passion for the industry.
✨Tip Number 3
Get familiar with our tech! Brush up on SQL, Python, or any relevant data science tools. Being able to speak the same language as our Tech team will definitely give you an edge.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Futures team.
We think you need these skills to ace Analyst (UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analyst role at Futures. Highlight your relevant experience in data analysis and sports business, and don’t forget to showcase your coding skills with SQL, Python, or R. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Answer the questions we’ve asked clearly and concisely. Tell us why you’re passionate about working at Futures and how your skills align with what we’re looking for. Remember, this is your opportunity to stand out from the crowd!
Show Your Passion for Sports: We love candidates who are genuinely passionate about sports! In your application, share your experiences or insights related to the sports industry. Whether it’s a project you worked on or a personal interest, let us know how you immerse yourself in the world of sport.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team at Futures. We can’t wait to hear from you!
How to prepare for a job interview at Futuressport
✨Know Your Sports Business
Make sure you brush up on the latest trends and insights in the sports industry. Being able to discuss recent developments or major events will show your passion and knowledge, which is crucial for an Analyst role at Futures.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis in previous roles. Be ready to explain your thought process and the impact of your findings. This will demonstrate your analytical prowess and problem-solving abilities.
✨Master the Tech Tools
Familiarise yourself with SQL, Python, and any other relevant data science software mentioned in the job description. If you can, bring examples of projects where you've used these tools to derive insights, as this will highlight your technical skills.
✨Communicate Clearly
Practice presenting complex data in a simple and engaging way. You might be asked to explain your findings during the interview, so being able to communicate effectively is key. Use clear visuals if possible, and focus on the implications of your analysis for clients.
