Senior Analytics Engineer, GFCO Analytics

Unchain Data

United States

Hybrid

USD 152,000 - 179,000

Full time

14 days+

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Benefits offered by this job

In-person surges quarterly

Job summary

Coinbase is 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 high-impact role directly influences how we serve and protect our customers while scaling our analytics capabilities in a remote-first, but not remote-only

Qualifications

  • 3+ years in analytics engineering or data engineering roles and building data pipelines.
  • SQL proficiency with dbt, Airflow and cloud data warehouses.
  • Experience with dimensional modeling and building trusted data products.

Responsibilities

  • Own design, build, and maintenance of data models and pipelines for CX, compliance, and insights.
  • Collaborate with CX Ops, Compliance, and Product to deliver self-serve analytics.
  • Build dashboards and reporting tools for CX leadership and compliance health.
  • Improve data quality and governance with testing and documentation.
  • Identify opportunities to automate recurring data workflows and scale solutions.
  • Collaborate with broader Data Engineering and Analytics teams on best practices.

Skills

SQL
dbt
Airflow
Cloud data warehouses
Data modeling
BI dashboards
Stakeholder collaboration
Generative AI usage

Tools

dbt
Airflow
Snowflake
Databricks

Job description

About Us

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it's a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges."

The Role

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.

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.
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 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.
Compensation

Annual base salary range (excluding equity and bonus): $152,405 – $179,300 USD

Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Base salary varies by location.

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In-person surges quarterly