Internal Audit Analytics Associate

Join Coinbase as an Internal Audit Analytics Associate to deliver data-driven assurance across global technology infrastructure and crypto-native products. Analyze large datasets and assess IT and security controls effectiveness. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”

• •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.

• •Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
• •Annual base salary range (excluding equity and bonus): $131,195 — $138,100 USD.

• •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.