Data Analyst, Regulatory Analytics and Reporting

Kraken is a global crypto platform offering financial services and infrastructure for individual and institutional clients. The company is seeking a Data Analyst, Regulatory Analytics and Reporting to transform compliance and regulatory data into actionable insights, audit-ready reports, dashboards, and automated data solutions. The role partners with compliance, engineering, and leadership teams to improve regulatory reporting, data quality, and operational efficiency.

Responsibilities:

• Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers
• Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention
• Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics
• Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow
• Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources
• Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution
• Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs
• Deliver insights that shape compliance direction through clear, data-driven storytelling

Requirements:

• • 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID
• • Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments
• • Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly
• • Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making
• • Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration
• • Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards
• • Strong communicator who can simplify complex data ideas for both technical and non-technical audiences
• • Alignment with the values outlined in Kraken's Tentaclements document
• • Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field
• • Passion for continuous learning and approaching problems with a beginner's mindset
• • Solid understanding of the cryptocurrency space and how financial markets function