At a Glance
- Tasks: Create dashboards and analyse data to boost player engagement in racing games.
- Company: Global leader in interactive entertainment with a vibrant team culture.
- Benefits: Competitive salary, paid personal days, and hybrid work flexibility.
- Why this job: Join a dynamic team and shape the future of gaming through data insights.
- Qualifications: Strong SQL skills and experience in data storytelling and statistical analysis.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in interactive entertainment is hiring a Data Analyst for their Racing team in London. This role involves building dashboards to visualize player behavior, analyzing data to enhance engagement and retention, and designing telemetry for diverse game features.
Candidates should have strong SQL skills, experience in data storytelling, and statistical analysis expertise.
The position offers a hybrid work environment and numerous employee benefits, including competitive salary and paid personal days.
Senior Data Analyst - Racing Analytics & LiveOps employer: Zynga
Contact Detail:
Zynga Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Racing Analytics & LiveOps
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry, especially those working in data analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and data storytelling projects. 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 SQL and statistical analysis. Be ready to discuss how you've used these skills in past roles, especially in enhancing player engagement and retention.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in the role.
We think you need these skills to ace Senior Data Analyst - Racing Analytics & LiveOps
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you can manipulate and analyse data effectively, so don’t hold back on showcasing your best projects or experiences!
Tell a Story with Data: Data storytelling is key for us at StudySmarter. When you describe your past work, focus on how you’ve used data to drive decisions or improve player engagement. We love seeing how you connect the dots!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the role. Mention specific experiences that relate to racing analytics and LiveOps, and show us why you’re a perfect fit.
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 about the hiring process!
How to prepare for a job interview at Zynga
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them to extract insights from data. Practising common SQL problems can help you feel more confident when discussing technical aspects.
✨Showcase Your Data Storytelling
Think about how you can present your past projects in a way that highlights your data storytelling abilities. Prepare examples where you transformed complex data into engaging narratives that drove decisions. This will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Understand Player Behaviour
Research the gaming industry, particularly focusing on player behaviour analytics. Familiarise yourself with common metrics used to measure engagement and retention. Being able to discuss trends and insights related to player behaviour will show your genuine interest in the role and the company.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your analytical thinking and problem-solving skills. Think of situations where you had to analyse data under pressure or make quick decisions based on your findings. Practising these scenarios can help you articulate your thought process clearly during the interview.