Senior Data Analyst (Finance & Regulatory Reporting)

Role Overview

Senior Data Analyst position focused on Finance & Regulatory Reporting in a hybrid finance/blockchain environment. You will bridge traditional financial systems and blockchain technology, transforming complex transactional data into reliable, auditable reporting solutions for a fast-moving fintech leader.

Key Responsibilities

• Reporting Development & Automation: Design and maintain sophisticated dashboards and regulatory reports using SQL and BI tools; automate repetitive workflows to minimize manual intervention and operational risk
• Reconciliation & Variance Analysis: Lead deterministic reconciliations between internal ledgers, payment processors, and custody systems; investigate root causes and implement corrective actions
• Regulatory & Audit Support: Prepare high-quality datasets and documentation for statutory submissions and audits; ensure all metrics are reproducible, transparent, and compliant with international standards
• Data Quality & Lineage: Define rigorous monitoring rules and document the lineage of critical finance and compliance metrics to maintain a single source of truth
• Strategic Collaboration: Act as key bridge between Finance, Compliance, and Data Engineering to translate business needs into technical specifications
• Mentorship & Best Practice: Share knowledge, promote analytical best practices, and deliver actionable insights for budgeting and forecasting

Requirements

• Professional Experience: 4+ years in data analytics or regulatory reporting within fintech, payments, banking, or financial services
• Technical Skills: Advanced SQL proficiency; hands-on experience with modern BI tools (Looker, Tableau, Power BI); familiarity with dbt, Airflow, or modern data transformation stacks highly desirable
• Financial Knowledge: Solid understanding of general ledger concepts, accounting principles, cut-offs, and reconciliation frameworks; crypto-specific regulatory experience a major plus
• Automation & Scripting: Comfortable using Python or procedural SQL to automate ETL tasks and validation rules in regulated environments
• Soft Skills: Exceptional detail orientation; ability to present complex concepts to non-technical stakeholders; excellent written English
• Education: Degree in Finance, Accounting, Mathematics, Computer Science, or related quantitative field preferred

Benefits

• Fully remote, globally distributed team
• Market-competitive salary
• Clear career progression into senior technical leadership, management, or cross-functional roles
• Direct responsibility for mission-critical reporting with significant impact
• Innovative environment valuing experimentation and measurable impact