Data Analyst, Regulatory Analytics and Reporting

Overview

As a Data Analyst in Regulatory Analytics and Reporting, you will transform complex regulatory data into clear insights to protect the business and satisfy regulators. You’ll operate at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, audit-ready environment. You’ll partner with cross-functional teams to design dashboards and end-to-end data solutions that enable leadership to make high-stakes decisions. This role offers an opportunity to shape crypto compliance through scalable data models and automated processes, aligning data storytelling with regulatory needs.

Responsibilities

• Design dashboards, compliance metrics, and regulatory reports for stakeholders and regional compliance officers
• Automate end-to-end compliance data solutions and governance to boost efficiency
• Develop scalable, audit-ready data models from large datasets for reporting and analytics
• Translate regulatory and business requests into reports and data pipelines using Python, SQL, DBT and Airflow
• Lead cross-functional projects to build and maintain data pipelines and data sources
• Coordinate client data quality monitoring and drive timely remediation
• Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day needs
• Deliver data-driven insights to shape compliance strategy and direction

Key requirements

• 5+ years in data analysis and data management within financial services or a regulated industry
• Hands-on experience with AML, KYC, Sanctions, MiCA, or MiFID regulatory frameworks
• Strong SQL skills with complex joins, CTEs, and analytical functions
• Proficiency in Python (pandas, matplotlib, plotly)
• Experience with dbt or similar data modeling tooling
• Experience building data pipelines and understanding data workflow orchestration
• Proficiency with BI/dashboards tools (QuickSight, Power BI, Superset)
• Strong communication skills for both technical and non-technical audiences
• Alignment with Kraken’s Tentaclements values

• Strong communicator
• Cross-functional collaboration
• Problem-solving mindset
• SQL (complex joins, CTEs)
• Python (pandas, matplotlib, plotly)
• dbt or similar tooling

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