Senior Analytics Engineer: CX Data Pipelines & Compliance

Unchain Data; United States; Hybrid; USD 152,000 - 179,000; Full time

Benefits offered by this job

In-person surges quarterly

Job summary

Coinbase is hiring an Analytics Engineer to join the GFCO Analytics Engineering team and build the data foundations that power customer experience and compliance operations at Coinbase. You'll own end-to-end data pipelines, develop trusted metrics, and enable CX stakeholders to make faster, better decisions with clean, reliable data.

This high-impact role directly influences how we serve and protect our customers while scaling our analytics capabilities in a remote-first, but not remote-only

Qualifications

• 3+ years in analytics engineering or data engineering roles and building data pipelines.
• SQL proficiency with dbt, Airflow and cloud data warehouses.
• Experience with dimensional modeling and building trusted data products.

Responsibilities

• Own design, build, and maintenance of data models and pipelines for CX, compliance, and insights.
• Collaborate with CX Ops, Compliance, and Product to deliver self-serve analytics.
• Build dashboards and reporting tools for CX leadership and compliance health.
• Improve data quality and governance with testing and documentation.
• Identify opportunities to automate recurring data workflows and scale solutions.
• Collaborate with broader Data Engineering and Analytics teams on best practices.

Skills

SQL

dbt

Airflow

Cloud data warehouses

Data modeling

BI dashboards

Stakeholder collaboration

Generative AI usage

Tools

dbt

Airflow

Snowflake

Databricks

Job description

Coinbase is hiring an Analytics Engineer to join the GFCO Analytics Engineering team and build the data foundations that power customer experience and compliance operations at Coinbase. You'll own end-to-end data pipelines, develop trusted metrics, and enable CX stakeholders to make faster, better decisions with clean, reliable data.

This high-impact role directly influences how we serve and protect our customers while scaling our analytics capabilities in a remote-first, but not remote-only