Product Analyst II

Define and evolve metrics across adoption, engagement, retention, satisfaction, usability, usage quality, and customer value.

Analyze customer and developer journeys, segments, and feature-level behavior to identify opportunities and friction points.

Evaluate the quality, effectiveness, and adoption of new content and AI-powered product experiences.

Partner with Product, Engineering, Content, Design, and Marketing teams to define measurement plans and success criteria for new initiatives.

You have advanced SQL skills and experience working with event, session, or clickstream-level product data.

You are comfortable using Python for analysis and working with large, imperfect, or text-based datasets.

You have a strong foundation in statistics, including hypothesis testing, confidence intervals, statistical significance, power analysis, sampling, regression, and causal inference.

You understand funnels, cohort analysis, segmentation, retention, experimentation, and feature adoption.