Senior Product Data Analyst
⭐ Role Overview
We are looking for an experienced Senior Data Analyst to join our Data Team and work closely with our Product department. In this strategic role, you will transform complex data into actionable insights that directly support product optimization, with a strong focus on customer activation.
As an embedded partner within Product teams, you will analyze and optimize user journeys from registration to activation, conversion, and retention. You'll define customer value metrics, design and lead A/B experiments, and translate business KPIs into product-level signals that drive growth. You'll be the bridge between data and decision-making, ensuring our strategies are evidence-based and customer-focused.
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
Proficiency in Python for data analysis and automation, with knowledge of cohort analysis and customer segmentation techniques
Familiarity with growth frameworks and product-led growth strategies