During an interview with Zynga, I was surprised when the first round focused entirely on quantitative aptitude questions, and I was rejected based on that assessment alone. As someone with extensive experience in data analysis and end-to-end project delivery, it was disappointing to see that their evaluation relied so heavily on basic aptitude tests. This approach seems misguided, as it fails to capture the actual skills required for the role, like problem-solving, collaboration, and practical experience in handling complex data. Relying on quantitative tests to filter candidates right from the start overlooks the broader competencies needed for success in real-world scenarios, making this method both short-sighted and ineffective in finding the right talent

Phone screening call - Questions about Tell me about your self , tell me about a project you have done in current company , what are salary expectations, three top games you like