Senior Data Analyst (Finance & Regulatory Reporting)

Role Overview

Senior Data Analyst focused on Finance & Regulatory Reporting in a remote-first environment. You will bridge traditional finance systems and blockchain/crypto processing by turning complex transactional data into reliable, auditable, and scalable reporting.

Responsibilities

• Reporting development & automation: Build and maintain dashboards and regulatory reports using SQL and BI tools; automate repetitive workflows to reduce manual risk.
• Reconciliation & variance analysis: Perform deterministic reconciliations between internal ledgers, payment processors, and custody systems; identify root causes and implement corrective actions.
• Regulatory & audit support: Prepare reproducible datasets and documentation for statutory submissions and audits aligned with international standards.
• Data quality & lineage: Define monitoring rules and document lineage for critical finance/compliance metrics to maintain a “single source of truth.”
• Cross-functional collaboration: Partner with Finance, Compliance, and Data Engineering to translate business needs into technical specifications.
• Mentorship & best practices: Share knowledge, promote analytical best practices, and provide actionable insights for budgeting and forecasting.

Requirements

• 4+ years in data analytics or regulatory reporting in fintech, payments, banking, or related financial services.
• Advanced SQL and hands-on experience with BI tools such as Looker, Tableau, or Power BI.
• Familiarity with dbt and Airflow (or similar data transformation stacks) is highly desirable.
• Strong understanding of general ledger concepts, accounting principles, cut-offs, and reconciliation frameworks.
• Automation/scripting: Comfortable using Python or procedural SQL for ETL automation and validation in regulated environments.
• Detail-oriented with strong ability to present trade-offs to non-technical stakeholders in excellent written English.

Nice to Have

• Experience with crypto-specific regulatory regimes.
• Background in Finance/Accounting/Mathematics/Computer Science or related quantitative field (preferred).

Remote Work

• Fully remote with a globally distributed, agile team.