Internal Audit Analytics Intern
Coinbase · Remote · New York, United States · 4d ago
Ready to do the most impactful work of your career? At 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.” 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
#LI-Hybrid
P78400
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