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Coinbase

Senior Analytics Engineer, GFCO Analytics

Work from home

Remote role where the employee must remain based in a particular country.

United States only

Employer listed it 3 weeks ago · Added 5 days ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

$180k to $212k per year

Location

United States only

Timezone

US East

Contract

Full-time

Experience

Senior

Category

Data

Stated by the employer in the job description

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote - USA, US - Remote Zone 1 (Job Requisitions Only)"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

Ready to do the most impactful work of your career? 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.” learn more about working at Coinbase .

As a Senior Analytics Engineer on the GFCO Analytics Engineering team within the Customer Experience organization, you'll build the data foundations and analytical models that power customer experience and compliance operations at Coinbase. This team develops trusted metrics, scalable pipelines, and causal measurement frameworks that enable CX stakeholders to make faster, better decisions. You'll own end-to-end data models, design experiments, and apply machine learning to problems that directly influence how we serve and protect millions of customers.

What you'll do:

Own the design, build, and maintenance of production data pipelines, dimensional models, and ML-powered analytics products (including LLM-based contact classification, friction detection, and issue attribution) serving CX and compliance use cases.

Drive the development of self-service dashboards and AI-assisted analytics tools in Looker, Hex, or Python visualization libraries that reduce time-to-insight for CX stakeholders and operational teams.

Design and execute causal inference frameworks and quasi-experiments (A/B tests, holdout frameworks, difference-in-differences analyses) to measure the incremental impact of CX programs on customer retention and product engagement.

Partner with cross-functional stakeholders to translate business needs into scalable data solutions, managing a long-term analytics roadmap that balances tactical delivery with strategic investment.

Lead deep-dive investigations into key performance metrics using advanced statistical methods (Bayesian reasoning, time series analysis, propensity score matching) to identify actionable opportunities that improve customer outcomes, operational efficiency, and compliance posture.

Shape analytics engineering standards, documentation practices, and testing frameworks that enable the broader team to move faster with higher data quality and statistical rigor.

Required Skills and Experience:

5+ years of experience in analytics engineering, data science, or data engineering, with hands-on ownership of production data pipelines, dimensional data models (star/snowflake schemas), and statistical or ML models in dbt, Airflow, Snowflake, or similar.

Advanced SQL and Python proficiency applied to data model development, pipeline orchestration, causal inference, statistical analysis, and ML model deployment - not limited to scripting or visualization.

Demonstrated experience designing and executing A/B tests, quasi-experiments, and causal inference methods (difference-in-differences, propensity score matching) with the statistical rigor required for executive reporting and regulatory defensibility.

Proven success building production-grade dashboards and self-serve analytics solutions in BI tools (Looker, Tableau, Hex, or similar) that measurably reduced stakeholder dependency on ad-hoc requests.

Experience applying ML techniques to operational problems, including classification, detection, and attribution pipelines, with familiarity in compliance or regulatory data domains (AML, transaction monitoring, case handling).

Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

PID: P77456

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Annual base salary range (excluding equity and bonus):

$180,370 — $212,200 USD

Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.

Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.

US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation.

Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial .

Requirements

  • ·Advanced SQL and Python proficiency applied to data model development, pipeline orchestration, causal inference, statistical analysis, and ML model deployment - not limited to scripting or visualization.
  • ·Proven success building production-grade dashboards and self-serve analytics solutions in BI tools (Looker, Tableau, Hex, or similar) that measurably reduced stakeholder dependency on ad-hoc requests.
  • ·Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Coinbase, mentioning your remote working experience and working hours (US East).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 6d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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