
As a Sr. Data Analyst for Data & Audit Readiness at Kraken (Payward), you own the inventories, playbooks, catalogs, and access processes that keep the Data team's systems and datasets audit ready. You translate audit engagements directly into coordinated, well-documented responses, building the ETL pipelines, dashboards, and audit-ready data architecture that enable Internal Audit to turn audit and review planning into data-driven testing. This is a hands-on role that calls for a data architect's background, combining your experience building data pipelines with the ability to shape them for traceability, access control, and testability from day one.
What you'll do
- 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 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.
What you bring
- 7+ years of experience in data analytics or data engineering, ideally supporting internal audit, risk, or SOX compliance functions within fintech, payments, financial markets, or crypto.
- 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 and 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 communication skills to translate audit and business requirements into technical specifications and translate technical work back into terms non-technical stakeholders understand.
Nice to have
- 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 such as AuditBoard, Jira, or Workiva.
About Kraken
Kraken, founded in 2011, is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions. It offers spot trading, margin, futures, staking, and OTC services for both individual investors and institutional clients. Kraken is part of Payward, which also operates NinjaTrader, Breakout, xStocks, Payward Services, and CF Benchmarks.
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