Senior Analytics Engineer, GFCO Analytics

Overview

Senior Analytics Engineer on the GFCO Analytics Engineering team within Coinbase’s Customer Experience organization.

What you'll do

• Own the design, build, and maintenance of production data pipelines, dimensional models, and ML-powered analytics products for CX and compliance use cases.
• Build self-service dashboards and AI-assisted analytics tools using Looker, Hex, or Python visualization libraries.
• Design and execute causal inference and quasi-experiment frameworks (e.g., A/B tests, holdouts, difference-in-differences) to measure CX impact on retention and engagement.
• Lead deep-dive investigations into key performance metrics using advanced statistical methods.
• Partner with cross-functional stakeholders to turn business needs into scalable data solutions and manage a long-term analytics roadmap.
• Set analytics engineering standards, documentation practices, and testing frameworks to improve data quality and statistical rigor.

What you'll need

• 5+ years of experience in analytics engineering, data science, or data engineering.
• Hands-on ownership of production data pipelines and dimensional data models (star/snowflake schemas).
• Advanced SQL and Python proficiency for data modeling, orchestration, causal inference, analysis, and ML deployment (beyond scripting/visualization).
• Experience designing and executing A/B tests, quasi-experiments, and causal inference methods with statistical rigor.
• Experience building production-grade dashboards and self-serve analytics in BI tools (Looker, Tableau, Hex, or similar).
• Apply ML techniques to operational problems including classification, detection, and attribution pipelines with familiarity in compliance/regulatory data domains.

Details

• Work mode: Remote (USA).
• Base salary range: $180,370–$212,200 USD annually (excluding equity and bonus).