Senior Data Analyst, Data – Audit Readiness

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate on the technical coordination and stewardship layer for shared datasets and systems relevant to audit, encompassing financial systems, recordkeeping, and downstream reporting processes.

• Lead enhancements in governance, communication, and coordination regarding upstream schema and logic modifications that impact downstream systems and audit-related procedures.

• Assist with technical analysis and downstream impact evaluations during change management for datasets, tables, and systems pertinent to audit.

• Create and sustain reusable audit-ready dataset patterns, which include automated validation, data quality checks, and monitoring mechanisms.

• Evaluate audit-scoped processes and datasets, pinpoint operational challenges, and suggest reengineering and long-term process enhancements.

• Offer technical expertise to business stakeholders and the Audit PM concerning specific audit inquiries.

• Construct ETL pipelines, dashboards, and audit-ready data architecture that facilitate data-driven audit testing.

• Manage inventories, playbooks, catalogs, and access processes that bolster the Data team's audit readiness.

⛳️ Requirements

• Over 7 years of experience in data analytics or data engineering.

• Preferably experience supporting internal audit, risk, or SOX compliance functions within fintech, payments, financial markets, or cryptocurrency sectors.

• Experience in managing and designing data architectures within a regulated context.

• Proven experience in designing and constructing data pipelines with governance, traceability, and audit prerequisites integrated from the beginning.

• Practical experience in building and maintaining production data pipelines.

• Strong knowledge of dbt and Airflow or similar orchestration tools.

• Comprehensive mastery of SQL, including complex joins, CTEs, and analytical functions.

• Proficient in Python for pipeline development and analysis.

• Experience in documenting technical and business requirements, metadata, KPI definitions, business rules, data process flows, and data dictionaries.

• Familiarity with job scheduling, error/exception management, and troubleshooting of production ETL workflows.

• Experience collaborating with Data Engineering and/or Data Governance teams on shared datasets, schema alterations, and downstream impact evaluations.

• Capability to convert audit and business requirements into technical specifications and articulate technical tasks in terms understandable to non-technical stakeholders.

• Nice to have: experience in establishing or scaling a data analytics function within an audit or risk organization.

• Nice to have: familiarity with AI-assisted or automation tools for data quality verification, testing, or workflow efficiency.

• Nice to have: experience with audit management platforms such as AuditBoard, Jira, or Workiva.

• Applicants must select the city and country from which they will work and address any sponsorship requirements.

🏝️ Benefits

• Target annual base salary range of $110.4K–$210.8K.

• Bonus program.

• Equity program.

• Wellness allowance.

• Medical, dental, and vision benefits [US Only].

• 401(k) benefits [US Only].

• Equal opportunity employer.

• Job-related skills or work-style assessments applied consistently across candidates.