What does the daily work of a data analyst in the gaming industry look like? How much machine learning do you need to know?
Glu Mobile / Data thebobbmore
In my experience, it's pretty basic and way less machine learning than other domains. The daily work is typically answering ad-hoc queries, AB testing, building dashboards and pipeline and creating analytics specs for new features or a new game. Sometimes, you can do fancy stuff like churn predictions, spender predictions but in terms of decision making and implementation it's not always helpful and can be done by exploratory analysis and domain knowledge. There are very few cases where advanced analytics was used to do something really meaningful.