We are looking for a driven Internal Audit Data Analyst to join our team. This is not a traditional auditing role; it is a build role. You will report to the Senior Manager of Internal Audit and help transform our department from a retrospective testing function into a proactive, data-driven risk monitor.

In this role, you will leverage Snowflake to mine transactional datasets (travel bookings, card swipes, and SaaS subscriptions) and build self-service "Liveboards" in Thought Spot that allow our auditors and business stakeholders to monitor risk in real-time. You will be expected to champion a data-first mindset, challenging the status quo to enhance the effectiveness, efficiency, and scalability of our internal control environment.

What You’ll Do:

Analytics Engineering & Automation

• Design and develop SQL queries and Python scripts to support operational audit activities. This includes building automated audit tests, anomaly detection models, and risk scoring mechanisms to replace manual sampling.

• Develop techniques for continuous auditing, moving us away from point-in-time testing. You will build and maintain models that analyze large volumes of data for outliers, patterns, and trends.

• Partner with the SOX team to automate ITGC and Business Process control testing. Your goal is to achieve 100% population testing on key controls rather than relying on random sampling.

Visualization & Risk Intelligence

• Create dynamic visualizations that provide management with real-time insights into Key Risk Indicators (KRIs) and emerging risk trends.

• Design and execute data analytics for Enterprise Risk Management (ERM) initiatives, providing data-driven support for annual risk assessments.

• Model data in Thought Spot to empower non-technical auditors to ask their own questions (e.g., "Show me duplicate expense submissions > $500 last month").

Strategic Partnership

• Interact with Engineering, Data Science, and Business Operations to identify appropriate data sources. You will validate the completeness and accuracy (C&A) of data received to ensure it meets audit standards.

• Champion a data-first mindset within the team. You will research and communicate best practices, teaching traditional auditors how to utilize data tools to improve their process.

• Collaborate closely with the core audit team, occasionally assisting with broader departmental initiatives or fieldwork support to ensure team deadlines are met.

What We’re Looking For:

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a quantitative field (Business/Finance degrees acceptable with strong technical portfolio).

• 5+ years of relevant experience in data analysis, specifically within an Audit, Risk, Compliance, Finance, or Forensic context.

Technical Expertise:

• Querying: Advanced proficiency in SQL is required. You must be comfortable writing complex queries (joins, window functions, CTEs) against Snowflake.

• Visualization: Experience connecting cloud data to Thought Spot. You understand Worksheets, Views, and Search capabilities. You know how to model data specifically so that Thought Spot’s search engine returns accurate results.

• Data Quality (C&A): A rigorous approach to validating "Completeness and Accuracy." You don't just visualize data; you first prove it matches the source system (Net Suite/Product Backend).

• Analytical Curiosity: A strong sense of curiosity and the ability to ask probing questions to understand complex business processes and data context.

• Builder Mindset: A self-starter who proactively identifies problems and builds tools to fix them, while maintaining the flexibility to jump in and support team priorities when needed.

• Communication: The ability to translate complex data findings into clear, actionable audit conclusions for non-technical stakeholders.

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.

Pay Range**$87,825—$195,300 USD**