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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: Be part of a dynamic team focused on innovation and technology in sports.
- Why this job: Make an impact in the sports industry by transforming data into actionable insights.
- Qualifications: Experience with data analysis tools like Tableau, Power BI, SQL, and strong Excel skills.
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 - Tableau, Power BI, SQL 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 - Tableau, Power BI, SQL in Amersham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Platformation or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analytical projects. This is your chance to demonstrate how you can turn raw data into actionable insights, just like they do at Platformation.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with SQL, Power BI, and Tableau. They’ll want to see how you can contribute to their tech-led platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at Platformation.
We think you need these skills to ace Data Analyst - Tableau, Power BI, SQL in Amersham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with data workflows, analytical systems, and any relevant tools like Power BI or Tableau. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sports sponsorship and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Analytical Skills: In your application, don’t forget to mention specific projects where you've used your analytical skills. Whether it's cleaning data or producing visualisations, we want to know how you've turned raw data into actionable insights in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen on joining our team at Platformation!
How to prepare for a job interview at Platformation Enterprise Services Ltd.
✨Know Your Tools Inside Out
Make sure you’re well-versed in Tableau, Power BI, and SQL. Be ready to discuss specific projects where you've used these tools, and maybe even prepare a mini portfolio of your best visualisations or analyses to showcase during the interview.
✨Understand the Business
Research Platformation and its role in sports sponsorship valuation. Familiarise yourself with their services and how they leverage data analytics. This will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
✨Prepare for Technical Questions
Expect questions that test your analytical skills and problem-solving abilities. Brush up on your knowledge of data workflows and be prepared to explain how you would approach cleaning and validating data from multiple sources.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to present complex data insights clearly. Practice explaining your past projects in simple terms, focusing on how your findings impacted decision-making. This will demonstrate your ability to translate data into actionable insights.