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 understand business needs, translate them into data requirements, and turn them into clear recommendations or self-serve analytics solutions that reduce manual effort.
Build and maintain pipelines, dashboards, metrics, and reporting tools that give CX leaders visibility into performance, customer trends, and compliance health.
Leverage data to make clear recommendations that result in better outcomes for CX Ops, GFCO, and Compliance.
Drive data quality and governance within the CX data domain — implementing testing, monitoring, and documentation standards that ensure stakeholders can trust 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 the broader Data Engineering and Analytics teams to align on best practices, share learnings, 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.
Strong 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.
Strong communication skills with the ability to partner effectively with non-technical stakeholders and translate business needs into data solutions.
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., Claude, Cursor, LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingdata pipelinesSQLdimensional modelingstar schemasnowflake schemadata qualitydata governanceautomationanalytics engineering

Soft Skills

communicationcollaborationproblem-solvingstakeholder managementrecommendation developmenttranslating business needscontinuous learningadaptabilitytrust buildingself-serve solutions