← All roles

Data Analyst, Regulatory Analytics and Reporting

Kraken· Data
Apply on company site
RemoteFull-timePosted 3w ago

About the role

Data Analyst role focused on turning complex compliance and regulatory data into actionable insights to protect the business, satisfy regulators, and support senior leadership. Combines data engineering, regulatory reporting, and compliance operations in an audit-ready, high-scrutiny environment.

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

Qualifications

  • 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

Skills

Required:SQLPythondbtAirflowBI/VisualizationRegulatory knowledge

Benefits

  • Not specified in the description
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Kraken

setter-30setter-30-2026-q1
Company profileWebsite

More open roles at Kraken