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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