Senior Auditor

Bunge•Chesterfield, MO

60d•Onsite

About The Position

Global Internal Audit is a 100% fully rotational function and considered a key source of talent for the business. The fuel for the 100% fully rotational engine is our Global Internal Audit Development Program, which provides the opportunity to rotate out and into the business. Being part of the Global Internal Audit team will allow you to generate a quantifiable return for the business by effectively leading a variety of risk-based and management requested projects. You will transform the function, strengthening its brand, through your participation on department initiatives designed to build talent, improve our services, and build productive stakeholder relationships. You will heavily invest in your development, and the development of your colleagues, by actively engaging in the Global Internal Audit Development ProgramTM. You will also participate in other strategic business activities, as requested by management.

Requirements

Bachelor's degree in Accounting, Finance, Information Systems, Data Analytics, Computer Science, Business Analytics, Statistics, or a related field.
3+ years of experience in data analytics, internal audit, public accounting, risk advisory, business intelligence, or a related analytical function.
Experience supporting audit, risk, compliance, SOX, or business process reviews through data extraction, analysis, and visualization.
Proficiency in data analysis tools and languages such as SQL, Python, Power BI, Tableau, or similar technologies.
Experience working with enterprise data platforms and cloud technologies, including Google Cloud Platform (GCP), BigQuery, Cloud Storage, Dataproc, or related cloud analytics services.
Experience in data modeling, data transformation, data quality assessment, and analytical testing techniques used in audit and risk environments.
Experience developing dashboards, automated workflows, and repeatable analytics to support audit planning, fieldwork, monitoring, and reporting activities.
Familiarity with Generative AI technologies and large language models (LLMs), including experience leveraging AI tools to enhance audit procedures, data analysis, documentation, research, and productivity.
Ability to translate business and audit objectives into analytical approaches and communicate results effectively to auditors, management, and stakeholders.
Bachelor’s degree in Information Technology / Computer Science, MIS or related field.
Excellent English skills required.

Nice To Haves

Professional certifications such as Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), Certified Data Analyst, Google Cloud certification, Microsoft Power BI certification, or similar credentials are a plus.
MBA is a plus
Other foreign languages are a plus.

Responsibilities

Partner with regional audit team to identify opportunities to leverage data analytics throughout all phases of audit engagements, including planning, fieldwork, reporting, and follow-up.
Obtain, validate, transform, and analyze data from multiple business systems to support audit, risk assessment, compliance, and operational review activities.
Perform data mining and analytical procedures to identify trends, anomalies, exceptions, control deficiencies, and potential business risks.
Design, develop, and execute audit analytics, dashboards, visualizations, and automated reports to support audit objectives and enhance risk coverage.
Collaborate with audit teams and business stakeholders to understand processes, risks, controls, and data requirements and translate them into analytical solutions.
Develop and maintain reusable analytics, continuous auditing routines, automated testing scripts, and other data-driven solutions to improve audit efficiency and effectiveness.
Develop expertise in the organization's data environment, ERP systems, business processes, and analytical tools to support audit and advisory engagements.
Document analytical methodologies, data sources, assumptions, and results in accordance with Internal Audit standards and department methodologies.
Support the continuous improvement of audit analytics methodologies, tools, templates, and best practices, including the evaluation of emerging technologies and automation opportunities.
Provide training, guidance, and analytical support to audit teams to increase the adoption and effective use of data analytics across the Internal Audit function.
Stay current with emerging technologies, data analytics techniques, artificial intelligence capabilities, and industry trends to identify opportunities for innovation and enhanced audit coverage.
Support departmental initiatives, special projects, and other assignments as required.