This document outlines the key tasks of an analyst within an A/B testing culture. The three main tasks are: 1) Ensuring high quality data is available, 2) Prioritizing experiments that have the highest potential for effectiveness, and 3) Calculating the real financial impact of experiments including return on investment. The analyst helps maximize growth by focusing experiments in areas with the highest ROI while minimizing costs like false discovery rates.