Senior Analytics Engineer – Product & Customer Analytics

📋 Description

• Develop and maintain dbt models transforming event and customer data into dimensions and facts.
• Implement consistent transformations for identifiers, tenancy, deduplication, and time-based logic.
• Implement and maintain dbt tests for schema, freshness, and business logic validation.
• Investigate and remediate issues surfaced by tests, monitoring, or product stakeholders.
• Ensure models, columns, and metrics are documented and aligned with standards.
• Build and maintain tables used by dashboards and embedded analytics.

🎯 Requirements

• 4+ years of experience in analytics engineering or data engineering roles.
• Strong hands-on experience with dbt and SQL; comfortable operating in production.
• Proven experience building reusable models with tests and documentation.
• Familiarity with event-based/product data and multi-tenant modeling.
• Experience building production models for warehouse analytics and low-latency workloads.

🎁 Benefits

• Customer-facing models stay correct, tested, and performant as usage grows.
• Product reporting relies on reusable assets, not one-off logic.
• Data issues are caught early and resolved systematically.
• Product teams move faster on standardized datasets.