Sr. Data Analyst, Data & Audit Readiness at Kraken

Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Payward's Data team builds and operates the data infrastructure, pipelines, and analytics platforms that power decision-making, reporting, and controls across the business. The team partners closely with functions across the company, including Risk & Audit, IT, Finance, and Engineering, to make sure the data those functions depend on is reliable, well-governed, and ready to stand up to scrutiny. This role sits within the Data & Audit Readiness team and is dedicated to supporting overall audit readiness from a data standpoint. You will own the inventories, playbooks, catalogs, and access processes that keep the Data team's systems and datasets audit ready, translating audit engagements directly into coordinated, well-documented responses. Because audit readiness is best designed rather than bolted on, this role calls for a data architect's background — someone who has built data pipelines before and knows how to shape them for traceability, access control, and testability from day one. This is a hands-on, builder's role where you will build the ETL pipelines, dashboards, and audit-ready data architecture that let Internal Audit turn audit and review planning into data-driven testing. The opportunity 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. What you bring 7+ years of experience in data a