Senior Analyst, Compliance Technology

Coinbase

. Build and maintain curated datasets and data models for case, alert, entity, transaction, and risk features .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $167,280 - $196,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data models and ETL/ELT pipelines, ensuring data quality and compliance in regulated environments. Proficient in SQL and Python for data analysis and automation, with strong communication skills for cross-functional collaboration.

Highest-signal resume keywords

Advanced SQL ProficiencyETL/ELT Pipeline DevelopmentData Quality ManagementPython Automation SkillsCross-Functional Project Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLETLELTData Quality ChecksData AnalysisPerformance TuningData TransformationPipeline DevelopmentMeasurement Frameworks

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

DbtAirflowGenerative AI

Industry Keywords

Analytics EngineeringData EngineeringComplianceRegulated EnvironmentsData QualitySignal QualityReporting Pipelines

Tech Stack

Tools & technologies

AirflowETLPythonSQL

About the role

Key responsibilities & impact

Build and maintain curated datasets and data models for case, alert, entity, transaction, and risk features
Own data quality through validation checks, monitoring, lineage tracking, and documentation
Partner with engineering teams and Compliance stakeholders to close upstream data gaps and standardize instrumentation
Translate control requirements into scalable data structures and feature sets
Analyze detection outputs and improve signal quality while reducing non-actionable noise
Define success metrics for controlled rollouts
Execute measurement frameworks for compliance control effectiveness, including coverage, timeliness, stability, and outcome-based metrics
Build repeatable reporting pipelines for Compliance leaders, operations teams, and auditors

Requirements

What you’ll need

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 dbt, Airflow, or equivalent orchestration/transformation frameworks
Ability to execute ambiguous, cross-functional projects in regulated environments
Clear written and verbal communication
Python skills applied to automation, pipeline development, and data analysis
Responsible use of generative AI with human oversight
Must be based in the USA

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k)
Quarterly in-person working sessions (“surges”)
Reasonable accommodations for individuals with disabilities
Equal opportunity employment protections