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Payward, Inc.

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Data Analyst, Regulatory Analytics and Reporting

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Summary

Remote (US) data analyst role at Kraken's parent company Payward, focused on regulatory and compliance analytics: building datasets, pipelines, dashboards, and audit-ready reports while automating compliance workflows. Core stack includes SQL, Python (pandas, matplotlib, plotly), dbt, Airflow, and BI tools like QuickSight, Power BI, or Superset.

You will turn complex compliance and regulatory data into actionable insights. You will build and maintain datasets, pipelines, dashboards, compliance metrics, and regulatory reports; automate workflows and governance controls; monitor data quality; support audits and risk assessments; and communicate findings to compliance and leadership stakeholders.

Responsibilities

  • Design dashboards, compliance metrics, and regulatory reports
  • Automate compliance-related data solutions, governance controls, and workflows
  • Analyze complex datasets and create scalable, audit-ready data models
  • Translate regulatory and business requests into reports and automated data pipelines using Python, SQL, dbt, and Airflow
  • Lead cross-functional data-pipeline and data-source projects
  • Monitor client data quality, identify issues, and coordinate remediation
  • Support data requests for audits, exams, risk assessments, and business needs
  • Deliver data-driven compliance insights

Requirements

  • 5+ years of data analysis and data management experience in financial services or a regulated industry
  • Experience with compliance and regulatory reporting frameworks including AML, KYC, Sanctions, MiCA, or MiFID
  • Understanding of regulatory risk and audit-ready environments
  • Expert SQL skills, including complex joins, CTEs, and analytical functions
  • Proficiency with Python, pandas, matplotlib, and plotly
  • Experience with dbt or similar data-modeling tooling
  • Experience managing data pipelines and workflow orchestration
  • Proficiency with QuickSight, Power BI, or Superset
  • Ability to communicate complex data concepts to technical and non-technical audiences

Benefits

  • Bonus program
  • Equity program
  • Wellness allowance
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)

Skills

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See also

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