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- Tasks: Analyse player data to enhance gaming experiences and create engaging visual reports.
- Company: Leading mobile games developer with a passion for innovation.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of mobile gaming through data insights.
- Qualifications: Experience in data analysis and familiarity with visualisation tools; gaming interest is a plus.
- Other info: Exciting work environment with plenty of opportunities to level up your career.
The predicted salary is between 30000 - 42000 £ per year.
A leading mobile games developer is seeking a Product Analyst to join its Product Analytics team. This role involves analyzing player data to inform product decisions, identifying improvements for engagement, and creating visual reports.
The ideal candidate should have experience in data analysis, communicate insights effectively, and be familiar with data visualization tools like Looker. An interest in gaming and skills in Python or R would be added advantages.
Gaming Product Analyst: Data Insights & Experiments employer: Miniclip SA
Contact Detail:
Miniclip SA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gaming Product Analyst: Data Insights & Experiments
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at events. A friendly chat can open doors and give you insights that might just land you that Product Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to gaming. This will help us see your potential and how you can contribute to our team.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and gaming trends. We love candidates who can discuss their insights and how they can improve player engagement.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate gamers who can bring fresh ideas to our Product Analytics team.
We think you need these skills to ace Gaming Product Analyst: Data Insights & Experiments
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 experiences or projects that highlight your interest in the gaming industry. We want to see how your passion aligns with our mission.
Highlight Your Data Skills: Make sure to showcase your experience with data analysis and visualisation tools like Looker. We’re looking for someone who can turn complex data into clear insights, so don’t hold back on sharing relevant examples from your past work!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, especially when it comes to communicating insights, so show us you can do this right from the start!
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 the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Miniclip SA
✨Know Your Data Tools
Make sure you brush up on your data visualisation tools, especially Looker. Be ready to discuss how you've used these tools in past projects and how they can help improve player engagement.
✨Show Your Passion for Gaming
Let your enthusiasm for gaming shine through! Share your favourite games and what you think makes them successful. This will show that you not only have the skills but also a genuine interest in the industry.
✨Prepare for Data Analysis Questions
Expect questions that test your analytical thinking. Prepare examples of how you've analysed data to inform product decisions in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly
Since you'll need to communicate insights effectively, practice explaining complex data concepts in simple terms. You might even want to prepare a mini presentation on a past project to showcase your communication skills.
