Internal Audit Data Analytics Lead

Stripe · Toronto, New York, San Francisco · 6480 Internal Audit · listed June 26, 2026

The shape of it

Seniority
Senior
Experience asked
5–10 years
Where
Not stated
Requirements listed
12
Length
624 words

In the posting’s own words

Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe’s business processes, its compliance with laws and regulations and its risk management framework. Unique in our purpose is a cross-functional mandate that invites viewing through a wide lens and collaborating across the business. To enable this engagement, we must build and scale in a rapid-growth, high-volume environment. This is a unique opportunity to join a growing Data Analytics team within audit and work on providing data driven insights across the IA lifecycle. The DA Lead will support Data Analytics and audit fieldwork in execution of the approved Global Audit Plan. They will help develop embedded audit analytics as part of audit planning, fieldwork, and reporting through the execution of data analytics test steps. The DA Lead will also help drive the usage of AI to help drive more efficient and effective audits and will be a key member of the IA team who will help us elevate the ambitions of Stripe.

What it asks for · 12

  • 5-10 years of professional experience working in audit data analytics
  • Expertise with SQL, schema and ETL design, and data pipeline development/maintenance (e.g., Airflow).
  • Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Python).
  • Experience with and knowledge of machine learning techniques.
  • Experience with reporting and visualization platforms (e.g., Tableau).
  • Exquisite attention to detail.
  • A passion for building unreasonably good products and for driving defining impact.
  • Versatility and willingness to learn new technologies on the job.
  • High tolerance for rapid change and ability to navigate ambiguity.
  • Strong communication skills with the ability to simplify and share succinctly.
  • Bachelor's degree in Statistics, Computer Science, Economics, or a related quantitative field.
  • Experience working with basic git command

Also a plus

  • Previous experience in a high volume transactional payment environment
  • Passionate about audit and data

What the job covers

  • Complete data analytics as part of audit engagements in collaboration with the IA team.
  • Drive the use of AI across the audit team and leverage it in audit engagements
  • Participate in audit walkthroughs and develop work programs for the in scope areas
  • Lead DA brainstorming sessions with the audit team to discuss best use of data analytics techniques in audit planning and fieldwork
  • Assist with substantive testing of audit findings during reporting
  • Document the data analytics and audit tests in work papers.

Degree language

  • Bachelor's degree in Statistics, Computer Science, Economics, or a related quantitative field.

Tools and skills named

Security & compliance
  • Audit15×
  • Risk management
Data
  • ETL2×
  • Airflow
  • Data pipelines
  • Statistics
  • Tableau
Languages
  • Python2×
  • SQL
Ways of working
  • Cross-functional
  • Git
  • Testing
Go to market
  • Pipeline generation
Models & research
  • Machine learning

Words the posting leans on

  • audit16×
  • data analytics7×
  • experience5×
  • requirements4×
  • drive3×
  • fieldwork3×
  • lead3×
  • reporting3×
  • analytics part2×
  • audit engagements2×
  • audit planning2×
  • business2×
  • design2×
  • develop2×
  • e.g2×
  • etl2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Stripe on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.