Product Analytics Manager

Data Driven Insights:

• Define metrics and track performance in collaboration with Product, Engineering, and Customer Success.
• Use data to inform decisions driving client satisfaction, product adoption, and platform usage.
• Craft analytics flows, mapping user journeys from login to recognition to reward redemption.

Analytics and Reporting:

• Lead A/B testing, funnel optimization, retention analysis, and experimentation.
• Develop self-serve dashboards and reports that monitor adoption trends and identify churn risks.
• Leverage Amplitude for funnel analysis, retention tracking, cohort segmentation, and user behavior insights.

Data Management:

• Lead event tracking implementation and validation, coordinating with Engineering for data consistency.
• Maintain documentation and quality checks on analytics infrastructure and metric definitions.