Source description
About the role
Analyze user journeys through activation, engagement, and retention to uncover friction points for different cohorts and user segments
Partner with Product teams to prioritize and measure funnel improvement initiatives
Define and track customer value metrics (activation, adoption, retention, engagement, conversion), business KPIs (ARR, churn, LTV, CAC) and translate them into actionable product signals
Create insightful dashboards showing how product improvements impact customer value and business outcomes
Autonomously design and lead A/B tests focused on conversion and retention improvements, partnering with stakeholders
Proactively propose experiments to unlock new customer value levers and optimize conversion rates
Select success metrics, analyze results, and interpret statistical significance to inform decision
Develop and maintain data models using dbt (incremental models, snapshots, documentation, generic tests, macros)
Apply data modeling techniques (star/snowflake schema, data-marts, SCDs) and optimize BigQuery queries using clustering/partitioning for performance and cost efficiency
Work as embedded peer within Product squads, participating in syncs and discovery sessions to surface customer pain points and bottlenecks
Communicate findings effectively to technical and non-technical stakeholders and mentor junior analysts to promote excellence
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