# Internal Audit Data Analytics Lead

**Company**: Stripe
**Location**: Toronto, New York, San Francisco
**Experience**: senior
**Job type**: full-time
**Category**: Finance
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/8026689?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3d9b8b05-a3c

## Description

## Job Description

Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world’s largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.

Our Internal Audit (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.

As an Internal Audit Data Analytics Lead, you will support Data Analytics and audit fieldwork in execution of the approved Global Audit Plan. You will help develop embedded audit analytics as part of audit planning, fieldwork, and reporting through the execution of data analytics test steps.

## Responsibilities

- 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.

## Requirements

- 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.

## Preferred Qualifications

- Previous experience in a high volume transactional payment environment.

- Passionate about audit and data.

## Skills

### Required
- SQL
- schema design
- ETL design
- data pipeline development
- Airflow
- scripting
- programming
- data mining
- modeling
- R
- Python
- machine learning
- reporting
- visualization
- Tableau
- git

### Nice to have
- high volume transactional payment environment
- audit
- data

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/stripe/jobs/8026689?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)