Internal Audit Analytics Intern - Remote, Summer 2027

Coinbase Bridge; New York (NY); Hybrid; USD 57,000 - 81,000; Full time

Job summary

Coinbase is offering a 12-week Internal Audit Analytics Internship for Summer 2027. You will join the Internal Audit Data Analytics Team and support data-driven testing of controls across Coinbase's technology and crypto-native products.

Responsibilities include writing SQL, building AI-assisted auditing tools, and producing data extracts. You will work with large datasets, validate ETL processes, and present findings to stakeholders in a collaborative, hybrid setting.

Qualifications

• Pursuing a degree in Data Science, CS, Statistics, or related field.
• Demonstrated SQL proficiency with experience writing queries and working with large datasets.
• Familiarity with data ETL concepts and data movement between systems.
• Experience presenting data findings to non-technical audiences in reports or presentations.
• Uses generative AI responsibly with human oversight to deliver business-ready outputs.

Responsibilities

• Write SQL queries against Snowflake and other internal data platforms to assess design and effectiveness of internal controls.
• Build continuous auditing processes and AI tooling for Internal Audit use.
• Test system and model changes by validating compliance and performance, document results for stakeholders.
• Produce data extracts and reports, translating audit data requests into clear outputs.
• Validate data ETL processes from production to repository and to enterprise tools for completeness and accuracy.

Skills

SQL

Data analysis

ETL concepts

Data presentation

Generative AI usage

Education

Data Science/CS/Statistics degree

Tools

Snowflake

Job description

Coinbase is offering a 12-week Internal Audit Analytics Internship for Summer 2027. You will join the Internal Audit Data Analytics Team and support data-driven testing of controls across Coinbase's technology and crypto-native products.

Responsibilities include writing SQL, building AI-assisted auditing tools, and producing data extracts. You will work with large datasets, validate ETL processes, and present findings to stakeholders in a collaborative, hybrid setting.