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Analytics Engineer, GFCO Analytics

Coinbase
Backend Developer • Remote • Full-time • 📍 Remote (US)
📄 View original listing (EN)

Analytics Engineer role on the GFCO Analytics Engineering team at Coinbase, building the data foundations that power customer experience (CX) and compliance operations. You will own end-to-end data pipelines, develop trusted metrics, and enable CX stakeholders to make faster, better decisions with clean, reliable data. Coinbase is remote-first but not remote-only, with quarterly in-person working sessions called surges.

Stack

AI/MLAirflowSQLTableau

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
  • ▹Identify opportunities to automate recurring data workflows and reporting processes, shifting from reactive requests toward scalable, self-serve solutions
  • ▹Collaborate with broader Data Engineering and Analytics teams to align on best practices and contribute to Coinbase's overall data infrastructure

Requirements

  • ▹3+ years of experience in analytics engineering, data engineering, or a related data role, with hands-on experience building and maintaining data pipelines and models
  • ▹Proficiency in SQL and experience with modern data stack tools such as dbt, Airflow, and cloud data warehouses (Snowflake, Databricks, or similar)
  • ▹Experience with data modeling concepts (dimensional modeling, star/snowflake schemas) and building trusted, well-documented data products
  • ▹Familiarity with BI/visualization tools (Looker, Tableau, or similar) and experience building dashboards and self-serve analytics solutions
  • ▹Track record of partnering with non-technical stakeholders to translate business needs into data solutions, particularly in CX, operations, or compliance domains
  • ▹Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality

Soft skills

Ability to partner with non-technical stakeholders and translate business needsDrive toward scalable, self-serve solutions over reactive workCollaboration across data teams

What we offer

  • ▹Annual base salary range (excluding equity and bonus): $152,405 - $179,300 USD
  • ▹Total compensation may include equity and bonus eligibility
  • ▹Benefits: medical, dental, vision, 401(k)