Internal Audit Analytics Intern

Ready to do the most impactful work of your career? At a and utm_source=coinbase Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn t a place for complacency, it’s a place to be pushed past your perceived limits. If you re ready to build the future of finance alongside people who refuse to settle for good enough, you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” a learn more about working at Coinbase.

This is a 12-week internship during summer 2027.

As an Internal Audit Analytics Intern, you ll join the Internal Audit Data Analytics Team and support data-driven testing of controls across Coinbase s global technology infrastructure and crypto-native products. You ll extract, analyze, and validate datasets from Coinbase s internal data systems to assess control design and operational effectiveness, translating audit data requests into SQL-based extracts and actionable findings that support the audit team s control testing objectives.

What you ll do:

Write SQL queries against Snowflake and other internal data platforms to assess the design and operational effectiveness of key internal controls
Building continuous auditing processes and AI tooling for use throughout Internal Audit
Test system and model changes by validating compliance and performance impact, and document results for relevant stakeholders
Produce data extracts and reports from a variety of sources, translating audit data requests into clear, actionable requirements and outputs
Validate data ETL processes from upstream production systems into the data repository and from the repository into enterprise tools, checking for completeness and accuracy at each stage

Required Skills and Experience:

Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field
Demonstrated SQL proficiency with experience writing queries and working with large datasets through coursework, projects, or prior internships
Familiarity with data ETL concepts, including how data moves between production systems, repositories, and enterprise tools
Experience presenting data findings to non-technical audiences through written reports, presentations, or project deliverables
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

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Hourly Rate:

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