Data Analyst - Regulatory Analytics and Reporting
USA, Canada, Cyprus, Czechia, Germany, Ireland, Lithuania, Poland, Portugal, Romania, Spain, SwitzerlandFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- PythonSQLData AnalysisMicrosoft Power BIPandasComplianceData visualizationData managementdbt
Requirements
- 5+ years of experience in data analysis and data management within financial services or a regulated industry
- 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
- 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
- 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
- Strong communicator who can simplify complex data ideas for both technical and non-technical audiences
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
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