Note: The job is a remote job and is open to candidates in USA. Coinbase is a financial technology company focused on increasing economic freedom and building the future of finance. The Senior Analytics Engineer will build data foundations, pipelines, trusted metrics, dashboards, and self-service analytics solutions that support customer experience and compliance operations.
Responsibilities
- Own the design, build, and maintenance of data models and pipelines that support CX operations, compliance reporting, and customer insights, ensuring data is accurate, timely, and well-documented
- Partner with CX Operations, Compliance, and Product teams to translate business needs into data requirements and deliver self-serve analytics solutions that reduce manual effort
- Build and maintain dashboards, metrics, and reporting tools that give CX leaders visibility into performance, customer trends, and compliance health
- Drive data quality and governance within the CX data domain by implementing testing, monitoring, and documentation standards that ensure stakeholder trust in the data
- Identify opportunities to automate recurring data workflows and reporting processes, shifting the team from reactive requests toward scalable, self-serve solutions
- Collaborate with broader Data Engineering and Analytics teams to align on best practices, share learnings, and contribute to Coinbase's overall data infrastructure
Skills
- 5+ years of experience in analytics engineering or data engineering, with hands-on ownership of production data pipelines and dimensional data models (star/snowflake schemas) in dbt and Snowflake or similar
- Proficiency in SQL and Python for data transformation, pipeline orchestration (Airflow or similar), and building trusted, version-controlled data products
- Demonstrated success building dashboards and self-serve analytics solutions in BI tools (Looker, Tableau, or similar) that reduced stakeholder dependency on ad-hoc requests
- Experience partnering with operations, customer experience, or compliance teams to define metrics, SLAs, and reporting frameworks tied to measurable business outcomes
- Familiarity with compliance or regulatory data domains (AML, transaction monitoring, case handling) in financial services or fintech
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
Benefits
- Equity
- Bonus eligibility
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k)
- Remote-first work arrangement
- Quarterly in-person working sessions called “surges”
Company Overview
Company H1B Sponsorship