Join EY's Global Delivery Services as a Senior – Audit Analytics and contribute to shaping the future of audit and risk management. You'll leverage data analytics to support Internal Audit, risk, and controls engagements, working with complex datasets to identify risks, exceptions, and improvement opportunities. This role offers the chance to develop scalable analytical solutions using SQL, Python, Power BI, and modern data platforms, while also contributing to technology-enabled audit transformations.

EY offers a unique career path with global scale and support, fostering an inclusive culture where your voice is valued. Become part of a dynamic team that builds a better working world.

As a Senior – Audit Analytics, your key responsibilities will include:

- Extracting, transforming, profiling, and analyzing data using SQL, Python, and ETL tools. - Developing and executing audit analytics and exception testing across enterprise processes. - Building interactive dashboards and reports in Power BI to visualize findings and risk insights. - Working with large datasets on modern data platforms like Databricks and Snowflake. - Ensuring data accuracy through quality checks and validation. - Translating audit and business requirements into analytical logic and test scenarios. - Collaborating with cross-functional teams to identify data sources and deliver analytics. - Documenting analytical procedures for repeatability and auditability. - Supporting technology-enabled audit transformations, including automation and Continuous Controls Monitoring. - Exploring opportunities for AI/GenAI and LLMs in audit and risk management use cases.

To excel in this role, you should possess:

- Strong hands-on experience with SQL, Python for data analysis and automation, and ETL concepts. - Proficiency in developing dashboards and reports using Power BI. - Experience with data warehousing and modern data platforms such as Databricks or Snowflake. - Excellent data analysis, reconciliation, and problem-solving skills for large, complex datasets. - The ability to translate business, audit, and risk requirements into actionable analytical outputs. - Strong communication and documentation skills for explaining analytical approaches. - Exposure to AI/GenAI solutions and their application is a plus. - Experience with common business processes (e.g., P2P, O2C, T&E) and understanding of risks, controls, and audit testing. - Familiarity with enterprise systems like SAP, Oracle, or Workday is beneficial. - Experience or exposure to internal audit transformation initiatives is advantageous.