Analytics Engineer
Build and maintain data models, pipelines, and dashboards that power customer experience and compliance operations. Partner with CX and compliance teams to deliver trusted, self-serve analytics.
About the job
What you'll do
- 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.
Required Skills and Experience
- 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 customer experience, operations, or compliance domains.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Skills
SQL, dbt, Airflow, Snowflake, Databricks, Looker, Tableau, Dimensional Modeling, Data Modeling, Data Pipelines
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