Sports Analyst

Sports Analyst

Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Block MB

At a Glance

  • Tasks: Build advanced statistical models for sports markets and tackle complex mathematical problems.
  • Company: Leading sports analytics company with a team from top UK universities.
  • Benefits: Flexible working hours, hybrid model, regular pay reviews, and promotion opportunities.
  • Other info: Collaborate with data scientists and enjoy a culture of ongoing research.
  • Why this job: Join a dynamic team and make an impact in the exciting world of sports analytics.
  • Qualifications: Strong background in statistical modelling; PhD or equivalent experience preferred.

The predicted salary is between 50000 - 70000 £ per year.

We are looking for a sports-focussed Quantitative Analyst that is keen to take the next step in their career and focus on building quantitative models for this sports analytics company. Following the success of their team, they are looking to grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN.

This team works alongside the Data Scientists to build complex algorithms to support the mathematical and statistical problems.

  • Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings.
  • Own the full life cycle from concept, to research, through to productionisation and performance monitoring.
  • Collaborate closely with data scientists and quant researchers to tackle complex mathematical and statistical problems, sharing methods and continuing the culture of ongoing research.

Strong background in statistical and mathematical modelling. Ideally holding a PhD (or equivalent experience) in Physics, Mathematics, Statistics or a related discipline. Proficient in Python as your primary modelling tool; some exposure to the sports world, even a personal project would be relevant for this!

Hybrid working from London, with flexible working hours. Various other benefits, including a flexible allowance for you to use how you would prefer. Regular pay reviews and promotion opportunities.

Sports Analyst employer: Block MB

Join a dynamic sports analytics company that champions innovation and collaboration, where your expertise in quantitative analysis will thrive. With a hybrid working model based in London, you will enjoy flexible hours, regular pay reviews, and ample opportunities for professional growth alongside a team of top-tier talent from prestigious universities. Embrace a culture that values ongoing research and development, making it an ideal environment for those passionate about sports and data-driven insights.

Block MB

Contact Details:

Block MB Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sports Analyst

Tip Number 1

Network like a pro! Reach out to professionals in the sports analytics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your quantitative models and any relevant projects, especially those related to sports. This will give you an edge and demonstrate your passion for the field.

Tip Number 3

Prepare for interviews by brushing up on your statistical knowledge and Python skills. We recommend practising common interview questions and even doing mock interviews with friends or mentors to build confidence.

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, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Sports Analyst

Quantitative Analysis
Statistical Modelling
Mathematical Modelling
Python
Algorithm Development
Data Science Collaboration
Research Skills

Some tips for your application 🫡

Show Your Passion for Sports:Make sure to highlight your love for sports in your application. Whether it's through personal projects or relevant experiences, we want to see how your passion aligns with our mission at StudySmarter.

Highlight Your Technical Skills:Since we're looking for someone with a strong background in statistical and mathematical modelling, be sure to showcase your proficiency in Python and any other relevant tools. We want to know how you can contribute to our team!

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Sports Analyst role. This shows us that you're genuinely interested in joining our team.

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’re considered for this exciting opportunity with StudySmarter!

How to prepare for a job interview at Block MB

Know Your Stats

Brush up on your statistical and mathematical modelling skills. Be ready to discuss specific models you've worked on, especially those relevant to sports analytics. This shows you’re not just a numbers person but someone who can apply their knowledge in a practical context.

Show Your Passion for Sports

Make sure to highlight any personal projects or experiences related to sports. Whether it’s a fantasy league you’ve run or an analysis of player performance, sharing these will demonstrate your enthusiasm and understanding of the sports world.

Collaborate Like a Pro

Since the role involves working closely with data scientists and quant researchers, be prepared to discuss how you’ve collaborated in the past. Share examples of how you tackled complex problems as part of a team, showcasing your communication and teamwork skills.

Master Python

As Python is your primary modelling tool, ensure you can talk about your experience with it confidently. Be ready to discuss specific libraries or frameworks you’ve used, and maybe even share a quick example of a project where you utilised Python effectively.