高级分析工程师, GFCO 分析
Senior Analytics Engineer, GFCO Analytics
准备好开展职业生涯中最有影响力的工作吗？在Coinbase，我们对实现经济自由的使命毫不妥协。标准很高，环境紧张，我们喜欢这样。这里不是安于现状的地方，而是让你突破自我认知极限的地方。如果你准备与那些不愿满足于“足够好”的人一起打造金融的未来，你就在正确的地方。Coinbase是一家以远程办公为主导的公司，但并非完全远程。你将每季度参加一次高强度的线下工作会，称为“冲刺”（surges）。了解更多关于在Coinbase工作的信息。
作为客户体验部门内GFCO分析工程团队的高级分析工程师，你将构建支撑客户体验和合规运营的数据基础和分析模型。该团队开发可信赖的指标、可扩展的管道以及因果测量框架，使CX利益相关者能够更快、更好地做出决策。你将负责端到端的数据模型，设计实验，并将机器学习应用于直接影响我们如何服务和保护数百万客户的实际问题。
你将负责：
- 负责生产数据管道、维度模型和基于机器学习的分析产品（包括基于LLM的联系人分类、摩擦检测和问题归因）的设计、构建和维护，服务于CX和合规用例。
- 推动在Looker、Hex或Python可视化库中开发自助式仪表板和AI辅助分析工具，以减少CX利益相关者和运营团队的洞察时间。
- 设计并执行因果推断框架和准实验（A/B测试、保留框架、差异中的差异分析），以衡量CX项目对客户留存和产品参与度的增量影响。
- 与跨职能利益相关者合作，将业务需求转化为可扩展的数据解决方案，管理一个平衡战术交付与战略投资的长期分析路线图。
- 使用高级统计方法（贝叶斯推理、时间序列分析、倾向得分匹配）深入调查关键绩效指标，识别能提升客户成果、运营效率和合规态势的可操作机会。
- 制定分析工程标准、文档实践和测试框架，使整个团队能够以更高的数据质量更快地推进工作。
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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.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.