Sr. Data Analyst, Data & Audit Readiness

- 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.

- Spearhead improvements to governance, communication, and coordination around upstream schema and logic changes that impact downstream systems and audit-related processes.

- Support technical analysis and downstream impact assessment during the change management process to improve downstream visibility for datasets, tables, and systems in scope for audit.

- Support the development and maintenance of reusable audit-ready dataset patterns, including automated validation, data quality checks, and monitoring.

- Review processes and datasets in scope for Audit, examine existing operational pain points, and propose reengineering opportunities and longer-term process improvements.

- Provide technical guidance to business stakeholders and the Audit PM around specific Audit requests.

- 7+ years of experience in data analytics or data engineering, ideally supporting internal audit, risk, or SOX compliance functions within the fintech, payments, financial market or crypto where data quality and scale are non-negotiable.

- Experience managing and designing data architecture in a regulated environment, having designed and built data pipelines with governance, traceability, and audit requirements considered from the outset.

- Hands-on experience building and owning production data pipelines, with strong familiarity with dbt and Airflow or equivalent orchestration tools.

- Full mastery of SQL including complex joins, CTEs and analytical functions, alongside strong Python proficiency for pipeline development and analysis.

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

- Familiarity with data administration tasks: job scheduling, error/exception handling, and troubleshooting production ETL workflows.

- Experience partnering with Data Engineering and/or Data Governance teams on shared datasets, schema changes, and downstream impact analysis.

- Strong communicator who can translate audit and business requirements into technical specifications and translate technical work back into terms non-technical stakeholders understand.

- Experience building or scaling a data analytics function within an audit or risk organization from the ground up.

- Familiarity with AI-assisted or automation tools for data quality checks, testing, or workflow efficiency.

- Familiarity with audit management platforms (e.g., AuditBoard, Jira, Workiva).

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.