Senior Product Data Analyst

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

5+ years of experience in a data analyst role, preferably in a SaaS or Product analytics environment

Proven experience in customer activation area, with a track record of improving conversion rates and retention

Strong A/B testing expertise with proven ability to design experiments and analyze statistical significance

Strong business acumen and project management skills, with ability to connect analysis to objectives, define scope, and execute autonomously

Expert-level SQL proficiency including window functions, query optimization, and experience with BigQuery or similar cloud data warehouses

Excellent communication skills with ability to translate data insights into actionable business recommendations

Experience with dbt for data transformation and modeling

Proficiency in data visualization tools (e.g., Looker, Power BI, Metabase, Omni or similar) with strong understanding of visualization best practices