CX Analytics Engineer

Coinbase Careers Page

1d•Hybrid

About The Position

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. TL;DR We're 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 is a high-impact role where you'll directly influence how we serve and protect our customers while scaling our analytics capabilities.

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.

Nice To Haves

Experience working with customer experience, operations, or compliance data — including metrics related to case handling, SLAs, AML, or transaction monitoring.
Experience with Python for data manipulation, automation, or pipeline development.

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 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.

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