Remote Data Analyst: Regulatory Analytics & Dashboards

kraken.com; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Equal opportunity employer

Ongoing applications

Job summary

Kraken is seeking a senior data analytics engineer to turn complex regulatory data into actionable insights. You will own end-to-end data pipelines, dashboards, and regulatory reports in a fully remote role within a regulated financial services context.

You will work across data engineering, regulatory reporting, and compliance operations, using Python, SQL, dbt, Airflow, and BI tools to deliver audit-ready data for regulators and senior decision-makers.

Qualifications

• 5+ years in data analysis and data management within financial services with compliance exposure.
• Strong SQL and Python, plus dbt and Airflow experience.
• Experience with regulatory reporting and audit-ready data pipelines.
• Ability to translate regulatory and business requests into automated reports.

Responsibilities

• Design and own dashboards, compliance metrics, and reports for regulators and stakeholders.
• Automate end-to-end compliance data solutions and workflows to reduce manual effort.
• Analyze large datasets and build scalable, audit-ready data models for reporting.
• Translate regulatory requests into reports and data pipelines using Python, SQL, dbt, and Airflow.
• Lead cross-functional projects with analysts, engineers, and compliance teams.
• Support data quality monitoring and timely remediation with responsible teams.

Skills

SQL

Python

Data analysis

Data governance

Communication

Workflow orchestration

Education

Degree in Mathematics, Statistics, Finance, Information Systems, or related field

Tools

dbt

Airflow

Power BI

QuickSight / Superset

Job description

Kraken is seeking a senior data analytics engineer to turn complex regulatory data into actionable insights. You will own end-to-end data pipelines, dashboards, and regulatory reports in a fully remote role within a regulated financial services context.

You will work across data engineering, regulatory reporting, and compliance operations, using Python, SQL, dbt, Airflow, and BI tools to deliver audit-ready data for regulators and senior decision-makers.