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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 with data in gaming.
- Qualifications: Proficiency in SQL/Python and experience in the gaming sector.
- Other info: Exciting opportunity to shape player experiences in a dynamic environment.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at events. We can’t stress enough how valuable personal connections can be in landing 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 game data analysis. This will give potential employers a taste of what you can bring to the table.
✨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 boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals to join our team and make an impact in the gaming world.
We think you need these skills to ace Game Data Analyst: Turn Telemetry Into Player Impact
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 role. Mention specific telemetry methods or insights you've worked on before that relate to user retention and monetisation. This shows us you’re serious about the position!
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 don’t miss out on any important updates regarding your application status.
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 improve user retention.
✨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 enhance player experiences.
✨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 them. This shows you’re not just a data whiz but also a gamer at heart.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to analyse hypothetical player data. Practice articulating your thought process clearly, focusing on how your insights could drive user retention and monetisation strategies.
