Internal Audit Analytics Associate

As an Internal Audit Analytics Associate, you'll join the IT Internal Audit team within Finance to deliver data-driven, third-line assurance across Coinbase's global technology infrastructure and crypto-native products. You'll extract, analyze, and validate large datasets from internal systems to assess the design and operational effectiveness of IT and security controls. This role translates complex audit data requests into precise SQL-based extracts and actionable findings that directly support the audit team's control testing objectives.

What you'll do

• Execute in-depth data analysis to assess IT and security control effectiveness by writing complex, reusable SQL queries against Snowflake and other internal data platforms.
• Validate system and model changes by performing comprehensive testing of their compliance and performance impact, documenting results for relevant stakeholders.
• Produce accurate data extracts and reports from multiple sources, translating complex audit data requests into clear, actionable requirements and outputs.
• Test data ETL processes from upstream production systems into the data repository and from the repository into enterprise tools, validating completeness and accuracy at each stage.
• Design and enhance metrics dashboards to measure IT and security system performance and provide actionable insights to the Internal Audit team.
• Partner cross-functionally with Engineering, Security, and IT stakeholders to gather audit evidence and communicate findings to technical and non-technical audiences.

Required Skills and Experience

• 2+ years of experience in a data analytics role at a technology, consulting, financial institution, or fintech firm.
• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Demonstrated ability to write complex SQL queries and work with large datasets in platforms such as Snowflake, including query optimization and reusable code patterns.
• Working knowledge of IT operations, security infrastructure, cybersecurity programs, and enterprise technology stacks sufficient to identify control gaps.
• Experience testing or validating data ETL workflows, including data completeness and accuracy checks across pipeline stages.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

P77762