Senior Analytics Engineer – Product, Customer Analytics

This is a fully remote position, open to applicants in India.

📋 Description

• Design and sustain dbt models that convert event and customer data into reusable dimensions and facts.

• Apply consistent transformations for identifiers, tenancy, deduplication, and time-based logic.

• Develop and uphold dbt tests for schema, freshness, and validation of business logic.

• Investigate and resolve issues identified by tests, monitoring, or product stakeholders.

• Ensure that models, columns, and metrics are thoroughly documented and adhere to established standards.

• Manage tags, ownership metadata, and lineage annotations where relevant.

• Create and maintain tables utilized by dashboards, segmentation, Ads Manager reporting, and embedded analytics.

• Refactor ad hoc or feature-specific logic into standardized, reusable assets.

• Collaborate with Product Data Engineering and the CDP team on schema modifications, backfills, and event data challenges.

• Work alongside product engineers to validate outputs and support secure consumption patterns.

⛳️ Requirements

• At least 4 years of experience in analytics engineering or data engineering roles.

• Solid hands-on experience with dbt and SQL, along with confidence in operating in a production environment.

• Demonstrated ability to build and maintain reusable models with appropriate tests and documentation.

• Familiarity with event-based/product data and multi-tenant modeling patterns.

• Experience in creating production models for both warehouse analytics and low-latency analytics workloads.

🏝️ Benefits

• EEO Statement: The company is an Equal Opportunity Employer.

• Remote work options.