Principal Audit Analyst
Listed on 2026-06-18
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Job Description
The Principal Audit Analyst will play a key role in scaling Intuitive’s Internal Audit Analytics function by designing and enhancing a continuous monitoring program that delivers real-time visibility into business processes, helping to identify operational risks, potential fraud, and transaction anomalies. In this role, you will transform complex data into clear, actionable insights by developing compelling visualizations and dashboards tailored for business stakeholders and executive leadership.
You will also work across multiple data sources, performing ETL and managing large datasets within platforms such as the Snowflake enterprise data warehouse to support data-driven decision-making.
This position will serve as an essential member when it comes to all analytics requests within our Internal Audit department. The successful candidate will work closely with the Internal Audit Analytics Manager to execute tests that answer business questions and develop analytic solutions. The right person for this role is passionate about learning accounting business processes and risks while exploring a career in data analytics.
Roles and Responsibilities- Develop an understanding of operational risks, accounting business processes, and business data
- Perform routine execution of existing projects in a timely manner, including refreshing data and updating dashboards
- Establish a deep understanding of and partnership with assigned stakeholders
- Effectively communicate technical concepts to non-technical stakeholders
- Assist in creating visually appealing and informative reports, dashboards, and visualizations using Tableau to communicate results to stakeholders
- Assist in providing ad hoc support to serve different business leaders, including the operational audit team
- Provide timely status updates and elevate roadblocks to Internal Audit Analytics Manager
- Ensure data integrity and accuracy by implementing data validation and cleansing techniques
- Follow team best practices for data and reporting governance, including developing documentation of data processes, transformations, and deliverables
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