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- Tasks: Analyse data to uncover insights and support global sports sponsorship projects.
- Company: Join Platformation, a leader in sports sponsorship valuation with over 30 years of expertise.
- Benefits: Gain hands-on experience in a tech-driven environment with opportunities for growth.
- Other info: Dynamic role with a focus on technology and commercial insight in global sports.
- Why this job: Make an impact in the sports industry by transforming data into actionable insights.
- Qualifications: Experience with SQL, Python, Tableau, and strong analytical skills required.
The predicted salary is between 35000 - 45000 £ per year.
Platformation is a sports sponsorship valuation agency that helps rights holders, brands and agencies understand the real value of their sport and entertainment partnerships. Combining advanced analytics with more than 30 years of sponsorship expertise, the business delivers independent, evidence-based insight that supports confident commercial decision-making.
Working across some of the most high-profile sponsorship arrangements in global sport, Platformation combines media valuation, market research and proprietary technology to provide a clear and defensible understanding of sponsorship performance and value.
As the business continues to evolve its technology-led platform offering, Platformation is looking to add a Data Analyst to support the operation, development and delivery of its analytical systems. This is a hands-on role operating at the intersection of data, technology and commercial insight. You will work across structured data workflows, analytical systems and reporting processes, helping to ensure outputs are accurate, reliable and delivered to a high standard.
You will play a key role in how data is collected, processed and transformed into actionable insight, supporting projects across global sport and sponsorship while contributing to the continued development of Platformation’s technology-led offering.
- Operate and maintain Platformation’s proprietary analysis platform and data workflows
- Process and structure raw data sources, including media and sponsorship-related datasets
- Support the training, validation and execution of analytical models
- Manage and organise data pipelines to ensure consistency and accuracy across projects
- Collect, clean and validate data from multiple sources
- Conduct analysis to identify trends, patterns and insights within datasets
- Produce clear data visualisations and structured outputs for reporting purposes
Experience working with structured data workflows, systems or analytical processes is required. Strong Excel skills, including Pivot Tables and Power Query, are essential. Experience using data visualisation tools such as Power BI or Tableau is also necessary. Experience with SQL, Python or AI workflows is advantageous.
If you are looking for a role where you can work across data, technology and commercial insight within the global sports industry, while contributing to the growth of an evolving technology-led platform, click the apply button to be considered.
Data Analyst SQL Python Tableau in Amersham employer: Platformation Enterprise Services Ltd.
Contact Detail:
Platformation Enterprise Services Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst SQL Python Tableau in Amersham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL, Python, and Tableau. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical mindset and problem-solving skills.
✨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 the team at Platformation.
We think you need these skills to ace Data Analyst SQL Python Tableau in Amersham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at Platformation. Highlight your experience with SQL, Python, and data visualisation tools like Tableau. We want to see how your skills match what we're looking for!
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've processed data, identified trends, or created insightful reports. This will help us see your analytical prowess in action.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon. We appreciate a well-structured application that gets straight to the point, making it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Platformation Enterprise Services Ltd.
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Tableau skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Understand Sponsorship Valuation
Familiarise yourself with the basics of sports sponsorship valuation and how data analytics plays a role in it. Being able to speak knowledgeably about the industry will show your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect some technical questions or even a practical test during the interview. Practice explaining your thought process when working with data workflows and analytical models, as this will demonstrate your problem-solving skills.
✨Showcase Your Visualisation Skills
Be prepared to present examples of your data visualisations. Whether it's through a portfolio or a discussion, showing how you can turn complex data into clear insights will highlight your ability to communicate effectively.