Researchpod

• Own the full analytics stack: track user acquisition, engagement, retention, and monetization metrics across free and premium tiers. • Deep-dive into listening behavior to quantify what makes an episode “great” and how personalization impacts completion rates, repeat usage, and subscription conversion. • Build and maintain dashboards (we use tools like Amplitude, Mixpanel, Snowflake, dbt, and Looker/Tableau) that product, growth, and leadership rely on daily. • Design and analyze A/B tests for recommendation algorithms, paywalls, onboarding flows, and content discovery features. • Partner closely with engineering and product to instrument new events, define KPIs for upcoming features (e.g., voice interaction mode, visual explainers), and surface actionable insights. • Identify leading indicators of churn, virality, and LTV; propose and validate interventions. • Help shape our data warehouse and establish best practices as we transition from startup chaos to scalable infrastructure.