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 ThoughtSpot 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 ThoughtSpot 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 ThoughtSpot. You understand Worksheets, Views, and Search capabilities. You know how to model data specifically so that ThoughtSpot’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 (NetSuite/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.