Compliance Senior Data Analyst

Salary Range: 80000 to 100000 (Currency: USD) (Pay period: per-year-salary)

This is a hands-on position suited to someone who is comfortable working independently through complex data problems, communicates clearly, and collaborates effectively across teams and time zones. They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data reconciliation/validation, and API based integrations. Experience working with APIs and webhooks to integrate with third-party platforms is a strong plus.

Key Responsibilities

Support implementation and ongoing execution of CARF and Form 1099-DA reporting requirements, including data extraction, transformation, validation, reconciliation, and reporting.

Develop and maintain SQL queries and data workflows required to identify reportable users, transactions, digital assets, proceeds, cost basis, and other required reporting data elements.

Perform data analysis and validation to assess the accuracy, completeness, and consistency of CARF and 1099-DA reporting populations and outputs.

Support development and execution of data quality controls and reconciliations, including investigation and remediation of exceptions.

Partner with Compliance, Tax, Finance, Product, Engineering, and other stakeholders to translate CARF and 1099-DA requirements into data and system requirements.

Support CARF jurisdictional implementation, including identification and tracking of reporting requirements, data specifications, deadlines, and implementation dependencies across applicable jurisdictions.

Support 1099-DA reporting processes, including customer data, transaction reporting, cost-basis information, corrections, and downstream reporting requirements.

Track implementation activities, dependencies, defects, and remediation through Jira, providing clear status reporting and escalation of risks or blockers.

Document data lineage, reporting logic, controls, procedures, and workflows to establish repeatable and auditable reporting processes.

Identify opportunities to automate and scale data preparation, validation, reconciliation, and reporting processes.

Support testing of new reporting functionality and system changes, including requirements validation, UAT, and production output validation.

Support regulatory examinations, audits, and internal inquiries.

Other duties as assigned.

Requirements & Qualifications

Strong ability to write efficient SQL queries across large datasets, with attention to performance and data accuracy;

Experience using Python or similar languages for data processing or automation;

Ability to apply a strategic and structured approach to problem solving;

Highly organized, with strong attention to detail;

Exposure to cross-functional projects and intercompany initiatives, with occasional need to collaborate outside regular hours to accommodate colleagues in different time zones;

Exposure to financial services, with a focus in regulatory and/or tax reporting within the banking or fintech industry a plus;

Understanding of cryptocurrencies or a strong interest in learning.