Staff Analytics Engineer – Customer Data Platform

📋 Description

• Lead the modeling and semantic foundation of the Customer Data Platform.
• Define how product events become structured datasets for analytics and ML.
• Partner with product, engineering, marketing, data science, and platform teams.
• Build warehouse models and canonical entities to support analytics.
• Ensure event data is reliable, deduplicated, and analytics-ready.
• Design models to analyze feature adoption, engagement, and lifecycle behavior.

🎯 Requirements

• Define and govern product event taxonomy across services.
• Own modeling patterns translating event pipelines into warehouse datasets.
• Maintain modeling patterns for exploratory analysis and production use.
• Define canonical entities like Agency, Location, Contact, Campaign.
• Build warehouse models powering product analytics platforms.
• Ensure datasets are stable, versioned, and reproducible for ML.

🎁 Benefits

• Global, remote-first culture across 15+ countries.
• Collaborate with 1,500+ teammates worldwide.
• Work on a platform processing billions of events.
• Impactful data work used by millions of businesses.
• Opportunity to shape long-term data platform architecture.
• Dynamic, data-driven, growth-focused environment.