Senior Data Analyst, Data & Audit Readiness

Responsibilities

• Collaborate on the technical coordination and stewardship layer for shared datasets and systems in scope for audit, including financial systems, recordkeeping, and downstream reporting processes.
• Improve governance, communication, and coordination around upstream schema and logic changes that affect downstream systems and audit-related processes.
• Perform technical analysis and downstream impact assessments during change management for datasets, tables, and systems in scope for audit.
• Develop and maintain reusable audit-ready dataset patterns, including automated validation, data quality checks, and monitoring.
• Review audit-scope processes and datasets, identify operational pain points, and propose reengineering and longer-term process improvements.
• Provide technical guidance to business stakeholders and the Audit Project Manager on audit requests.

Requirements

• 7+ years of experience in data analytics or data engineering, ideally supporting internal audit, risk, or SOX compliance functions in fintech, payments, financial markets, or crypto.
• Experience managing and designing data architecture in a regulated environment, including pipelines built with governance, traceability, and audit requirements from the outset.
• Hands-on experience building and owning production data pipelines.
• Strong familiarity with dbt and Airflow or equivalent orchestration tools.
• Advanced SQL skills, including complex joins, common table expressions, and analytical functions.
• Strong Python proficiency for pipeline development and analysis.
• Experience documenting technical and business requirements, metadata, KPI definitions, business rules, data process flows, and data dictionaries.
• Familiarity with data administration tasks such as job scheduling, error and exception handling, and troubleshooting production ETL workflows.
• Experience partnering with Data Engineering or Data Governance teams on shared datasets, schema changes, and downstream impact analysis.
• Strong communication skills, including translating audit and business requirements into technical specifications and explaining technical work to non-technical stakeholders.

Nice to Have

• Experience building or scaling a data analytics function within an audit or risk organization.
• Familiarity with AI-assisted or automation tools for data quality checks, testing, or workflow efficiency.
• Familiarity with audit management platforms such as AuditBoard, Jira, or Workiva.