Internal Audit Data Analytics Lead
On-siteNew York City, New York, United States or San Francisco, California, United States
Job Summary
Internal Audit Data Analytics Lead at Stripe. Responsible for completing data analytics as part of audit engagements, driving the use of AI across the audit team, developing work programs for in-scope areas, leading brainstorming sessions on data analytics techniques for audit planning and fieldwork, assisting with substantive testing during reporting, and documenting data analytics and audit tests in work papers. Requires 5-10 years of experience in audit data analytics and proficiency with SQL, ETL design, data pipelines (e.g., Airflow), scripting in R/Python, ML techniques, and visualization tools (Tableau). Bachelor's degree in a quantitative field and strong communication skills are required; familiarity with git is also expected. The role is based in Toronto, New York, or San Francisco.
Required Qualifications
- 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
Desired Qualifications
- Previous experience in a high volume transactional payment environment
- Passionate about audit and data
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