Sports Data Insights Analyst — Hybrid Role

Sports Data Insights Analyst — Hybrid Role

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Igbaffiliate

At a Glance

  • Tasks: Analyse sports data to generate insights and influence strategic decisions.
  • Company: Global media and tech company based in London with a focus on innovation.
  • Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment that promotes a data-driven culture.
  • Why this job: Join a dynamic team and shape the future of sports data analysis.
  • Qualifications: Strong SQL and Python skills, plus experience with data visualisation tools.

The predicted salary is between 40000 - 50000 £ per year.

A global media and technology company in London is looking for a Data Analyst to join their Data Intelligence Unit. This role involves generating insights from complex behavioural data, collaborating with teams to influence strategy, and promoting a data-driven culture.

Candidates should have:

  • Strong SQL and Python skills
  • Experience with data visualisation tools
  • A background in a quantitative discipline

The role is hybrid, with a mix of office and home working.

Sports Data Insights Analyst — Hybrid Role employer: Igbaffiliate

Spotlight Sports Group is an exceptional employer that fosters a dynamic and collaborative work culture, where creativity and innovation are at the forefront of our operations. As the Head of Visual Editorial & Data Storytelling, you will have access to extensive growth opportunities, working alongside talented professionals in a vibrant environment that values your contributions. Located in a thriving hub for media and technology, we offer unique advantages such as flexible working arrangements and a commitment to professional development, making it a rewarding place to advance your career.

Igbaffiliate

Contact Details:

Igbaffiliate Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Sports Data Insights Analyst — Hybrid Role

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL and Python projects. Use data visualisation tools to present your findings in a visually appealing way. This will make you stand out during interviews.

Tip Number 3

Prepare for the interview by brushing up on behavioural data analysis. Be ready to discuss how you've influenced strategy in past roles. We want to see your thought process and how you can contribute to a data-driven culture.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Sports Data Insights Analyst — Hybrid Role

SQL
Python
Data Visualisation Tools
Behavioural Data Analysis
Collaboration Skills
Data-Driven Strategy Development
Quantitative Analysis

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools in past projects, so don’t hold back on the details!

Data Visualisation is Key:If you've got experience with data visualisation tools, let us know! Share examples of how you've turned complex data into clear insights that influenced decisions.

Quantitative Background Matters:Since this role requires a background in a quantitative discipline, be sure to mention your relevant education or experience. We love seeing how your analytical mindset can contribute to our team!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Igbaffiliate

Know Your Data Tools

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to generate insights, as this will show your practical experience and understanding of data analysis.

Showcase Your Visualisation Skills

Familiarise yourself with popular data visualisation tools like Tableau or Power BI. Prepare to share examples of how you've used these tools to present complex data in an understandable way, as this is crucial for influencing strategy.

Understand the Company’s Data Culture

Research the company’s approach to data-driven decision-making. Be prepared to discuss how you can contribute to promoting a data-driven culture within their teams, demonstrating your alignment with their values and goals.

Prepare for Behavioural Questions

Expect questions that assess your teamwork and collaboration skills, especially since this role involves working with various teams. Think of examples from your past experiences where you successfully collaborated to achieve a common goal.