Data Analyst, Regulatory Analytics and Reporting

Accountabilities: Develop regulatory reporting and dashboards: Design, build, and maintain dashboards, compliance metrics, and regulatory reports that deliver actionable insights to stakeholders, regional compliance officers, and senior leadership. Automate compliance processes: Create end-to-end data solutions, governance controls, and automated workflows that improve operational efficiency, reduce manual intervention, and minimize human error. Build scalable data models: Analyze large and complex datasets and transform findings into reliable, well-documented, audit-ready data models that support regulatory reporting and business analytics. Develop data pipelines: Translate regulatory and business requirements into accurate reports and automated data workflows using SQL, Python, dbt, Airflow, and related technologies. Collaborate across teams: Lead and contribute to cross-functional initiatives involving data analysts, data engineers, and compliance teams to develop and maintain high-quality data sources and pipelines. Monitor data quality: Identify data inconsistencies, investigate issues, coordinate remediation efforts, and work with responsible teams to ensure timely resolution. Support audits and regulatory reviews: Provide accurate and timely data for audits, regulatory examinations, risk assessments, and day-to-day compliance operations. Communicate actionable insights: Present analytical findings through clear, data-driven storytelling that helps stakeholders understand regulatory risks, evaluate performance, and make informed decisions. Requirements Professional experience: At least 5 years of experience in data analysis and data management within financial services or another regulated industry, including hands-on work with compliance analytics and regulatory reporting. Regulatory knowledge: Practical experience with compliance frameworks and requirements such as Anti-Money Laundering (AML), Know Your Customer (KYC), sanctions screening, MiCA, or MiFID, along with a strong understanding of regulatory risk and audit-ready environments. Advanced SQL skills: Expertise in complex queries, joins, common table expressions (CTEs), analytical functions, and extracting insights from large datasets. Python proficiency: Experience using Python and analytical libraries such as pandas, matplotlib, and Plotly for data processing, analysis, and visualization. Data modeling expertise: Hands-on experience with dbt or comparable tools to build, organize, and maintain reliable datasets for reporting and decision-making. Data pipeline management: Experience designing, implementing, and maintaining automated data pipelines, with a solid understanding of workflow orchestration and data dependencies. Business intelligence and visualization: Proficiency with BI tools such as Amazon QuickSight, Power BI, or Apache Superset to create clear, executive-ready dashboards and reports. Communication and collaboration: Strong written and verbal communication skills, with the ability to explain complex technical and regulatory concepts to both technical and non-technical audiences. Analytical mindset: Strong attention to detail, sound judgment, and the ability to identify data quality issues, assess regulatory risks, and deliver practical solutions in a high-accountability environment. Preferred qualifications: A degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field is an advantage. Familiarity with cryptocurrency markets and financial systems, a commitment to continuous learning, and a willingness to approach problems with curiosity are also desirable. Benefits Remote work: A remote position with opportunities to collaborate with an internationally distributed team. Meaningful impact: Contribute to regulatory compliance, data quality, and risk management within a global digital asset and financial technology environment. Professional development: Work with modern data technologies, automation tools, and complex regulatory reporting systems. Cross-functional collaboration: Partner with data, engineering, compliance, and leadership teams to solve challenging business problems. Continuous learning: Develop expertise in financial data analytics, regulatory frameworks, and the evolving cryptocurrency ecosystem. Inclusive work environment: Join a global workplace that values diverse perspectives, professional capabilities, and merit-based opportunities. Compensation and additional benefits: Salary, healthcare coverage, bonuses, and other employment benefits were not specified in the original job description and should be confirmed during the hiring process.