Senior Analyst, Compliance Technology

Unchain Data; United States; Hybrid; USD 167,280 - 196,800; Full time

Job summary

Coinbase is seeking an Analytics Engineer to join the Compliance Technology team. You will build end-to-end data pipelines powering compliance detection and decisioning, partnering with Compliance, Product, and Engineering to ensure measurable controls and auditable outputs.

You will own data models for case, alert, and transaction datasets, drive data quality, and deliver scalable tooling that makes compliance data trustworthy and actionable across teams.

Qualifications

• Minimum 5 years of analytics engineering or data engineering in regulated environments.
• Advanced SQL with complex transformations and data quality checks.
• Experience building ETL/ELT pipelines and data models using dbt, Airflow, or equivalents.
• Strong written and verbal communication for cross-functional projects.
• Python used for automation, pipeline development, and data analysis.

Responsibilities

• Build and maintain curated datasets and data models powering compliance controls across monitoring and screening systems.
• Own data quality through validation, monitoring, lineage tracking, and documentation for audit readiness.
• Collaborate with cross-functional teams to close upstream data gaps and standardize instrumentation.
• Improve detection signal quality and define success metrics for controlled rollouts.
• Create repeatable reporting pipelines for Compliance leaders, operations, and auditors.

Skills

Advanced SQL

Python

Generative AI

Cross-functional communication

Tools

dbt

Airflow

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 Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You\'ll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use.

Responsibilities

• Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems.
• Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready.
• Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets.
• Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-actionable noise while protecting sensitivity, and defining success metrics for controlled rollouts.
• Execute measurement frameworks for compliance control effectiveness, including coverage, timeliness, stability, and outcome-based metrics, and build repeatable reporting pipelines consumable by Compliance leaders, operations teams, and auditors.

Requirements

• Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
• Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
• Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
• Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
• Python skills applied to automation, pipeline development, and data analysis.
• Ability to utilize 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): $167,280 — $196,800 USD

Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).