Use product usage data to identify customer behavior, feature performance, and improvement opportunities. Responsibilities include defining metrics, querying datasets, building analyses, supporting experiments, and communicating recommendations to product teams. Candidates should know SQL, Excel or Python, product analytics concepts, visualization tools, and structured problem solving.