Data Analyst, Regulatory Analytics and Reporting
Kraken · Remote · United States ·
COMPENSATION
$96k – $192k
Listed on the employer's job board (Ashby)
- Fully remote
- Senior level (5+ years)
- Python + SQL + dbt
- Crypto & Fintech
- Regulatory focus
Join Payward, the parent company of Kraken, as a Data Analyst specializing in Regulatory Analytics and Reporting. You will work at the intersection of data engineering and compliance operations, turning complex regulatory data into clear insights that protect the business and satisfy regulators.
Your primary goal is to ensure audit-readiness and support senior leadership in high-stakes decisions. You will own end-to-end data management, from building pipelines to designing dashboards, while automating workflows to minimize human error in a fast-paced environment.
What you'll do
- Design dashboards, compliance metrics, and regulatory reports for stakeholders
- Automate compliance data solutions and governance controls to boost efficiency
- Build scalable, audit-ready data models from large, complex datasets
- Translate regulatory requests into accurate reports using Python, SQL, dbt, and Airflow
- Lead cross-functional projects with analysts, engineers, and compliance teams
- Monitor client data quality and partner with teams to resolve issues
- Support ad-hoc data requests for audits, exams, and risk assessments
- Deliver data-driven insights to shape compliance direction
What you'll need
- 5+ years in data analysis within financial services or regulated industries
- Hands-on experience with compliance reporting frameworks like AML, KYC, MiCA, or MiFID
- Solid understanding of regulatory risk and audit-ready environments
- Expert SQL skills including complex joins, CTEs, and analytical functions
- Proficiency in Python libraries such as pandas, matplotlib, and plotly
- Experience using dbt or similar tools for data modeling
- Strong knowledge of data workflow orchestration and pipeline management
- Proficiency with BI tools like QuickSight, Power BI, or Superset
- Ability to simplify complex data ideas for technical and non-technical audiences
Nice to have
- Degree in Mathematics, Statistics, Finance, Information Systems, or related field
- Passion for continuous learning and a beginner's mindset
- Solid understanding of cryptocurrency space and financial markets
Stack
- Python
- SQL
- dbt
- Airflow
- pandas
- matplotlib
- plotly
- QuickSight
- Power BI
- Superset
How you'll work
- Fully remote position
- Global team environment
Hiring process
- Applications accepted on an ongoing basis
- Job-related skills or work-style assessments may be required
- Assessments evaluate competencies relevant to the role