Senior Audit Data Analytics Lead

Bunge Iberica SA

Chesterfield (MO)

On-site

USD 90,000 - 130,000

Full time

14 days+

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Health and wellness plans

Job summary

Bunge seeks a Senior Auditor to join Global Internal Audit in Chesterfield, MO. This fully rotational program offers exposure across audit activities, data analytics projects, and process improvements.

You will lead analytics initiatives, collaborate with regional teams, and develop expertise in ERP systems and AI tools while advancing your professional certifications. The role emphasizes building stakeholder relationships, delivering audit insights, and continuously improving audit analytics

Qualifications

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).
Ability to translate business and audit objectives into analytical approaches and communicate results effectively.

Responsibilities

Partner with regional audit team to identify opportunities to leverage data analytics throughout all phases of audit engagements.
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 evaluation of emerging technologies and automation opportunities.
Provide training, guidance, and analytical support to audit teams to increase adoption and effective use of data analytics across the Internal Audit function.
Stay current with emerging technologies, data analytics techniques, AI capabilities, and industry trends to identify opportunities for innovation and enhanced audit coverage.
Support departmental initiatives, special projects, and other assignments as required.