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- Tasks: Analyse player data to enhance gaming experiences and drive user engagement.
- Company: Leading recruitment agency focused on the gaming industry.
- Benefits: Pay-as-you-earn contract, hybrid work model, and potential for extension.
- Why this job: Make a real impact on millions of players while working in a dynamic environment.
- Qualifications: Proficiency in SQL/Python and experience in the gaming sector.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency is seeking a Game Data Analyst in the United Kingdom to enhance player experiences for millions. In this role, you will define telemetry methods, analyze player behavior, and create insights to drive user retention and monetization.
Proficiency in SQL/Python and experience in the gaming industry are essential. This position offers a pay-as-you-earn contract with a hybrid work model, initial 6-month term with potential extensions.
Game Data Analyst: Turn Telemetry Into Player Impact in London employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Game Data Analyst: Turn Telemetry Into Player Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Game Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to gaming data. This will give potential employers a taste of what you can do and how you can enhance player experiences.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and gaming industry trends. We recommend practising with friends or using mock interview platforms to build your confidence and nail those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Game Data Analyst: Turn Telemetry Into Player Impact in London
Some tips for your application 🫡
Show Your Passion for Gaming: When you're writing your application, let your love for gaming shine through! Share any personal projects or experiences that highlight your understanding of player behaviour and how you can enhance their experience.
Highlight Your Technical Skills: Make sure to showcase your proficiency in SQL and Python. We want to see how you've used these skills in real-world scenarios, especially in the gaming industry. Don't just list them; give us examples!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your previous experiences align with the responsibilities of a Game Data Analyst and how you can contribute to our mission of enhancing player experiences.
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. Plus, it’s super easy!
How to prepare for a job interview at Experis UK
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills and be ready to discuss specific projects where you've used these tools to analyse player behaviour or enhance gaming experiences.
✨Understand Telemetry Methods
Familiarise yourself with different telemetry methods used in gaming. Be prepared to explain how you would define and implement these methods to gather meaningful insights that can drive user retention and monetisation.
✨Showcase Your Gaming Knowledge
Since this role is in the gaming industry, it’s important to demonstrate your passion for games. Share examples of games you’ve played and how you think data analysis could improve player experiences in those games.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to analyse hypothetical player data. Practice articulating your thought process clearly, showing how you would turn data into actionable insights that impact player engagement.
