Job description
Summary:
data analytics, data mining, and continuous auditing strategies to support the function. The Data Analytics
Senior will be exposed to risk-based projects in several business areas and will be working with project
teams and Internal Audit Centers of Excellence (CoE) to:
- Lead project teams on executing audit analytics during all relevant stages of an audit project
- Provide support to the GIA Analytics function activities seeking for continuous enhancements
- Participate in the ongoing development/transition towards data automation for GIA projects
- Assist CoE teams in identifying, developing and documenting new relevant data analysis for the subject
- Work closely with the Head of Analytics on key initiatives
Essential Job Duties:
- Own analytics presence within the region, including travel to support other regions when needed
- Ability to work and communicate across multiple projects at the same time
- Lead project teams in how to obtain key data points for audits and perform data mining and analysis
- Lead analytics support for audits by identifying, developing, documenting, and executing audit analytics
- Develop and leverage subject matter expertise in: the knowledge of Bunge's data environment and
communicate results
- Co-Lead department initiatives to review and improve processes, tools and methodologies related to the
- Lead the development of trainings related to data analytics tools and methodology
- Provide additional support on GIA initiatives, when necessary
- Critically think on how to enhance GIA with use of tools, data, other technologies, etc.
Skills/Experience Requirements:
- Bachelor's degree in Accounting, Business Administration, Finance, Management Information Systems,
- 4+ years of experience within an audit, consulting or business intelligence environment performing
- Experience in Agribusiness within an audit/consulting environment and/or performing operational
- Knowledge of Bunge’s complex system landscape is a plus
- English verbal and written skills. The ideal candidate will be able to communicate with project teams on
- Experience in specialty area (e.g., RPA (Robotics Process Automation), Data Analytics, SAP, Oracle,
- Advanced skills in Tableau, Excel, Access, MS-SQL, Oracle, R, Python, PLSQL, Microsoft Office suite, etc
- Ability to work in an ever-growing global environment with multicultural and multidisciplinary
- Ability to apply a business focused approach to the Global Internal Audit function
- Skills in supervising seniors and staff and directing work
- Skill in planning and project management and maintaining composure under pressure while meeting
- Considerable skill in using Microsoft Office products (i.e., PowerPoint, Excel, Word)
- Considerable skill in effective verbal and written communications, including active listening skills and
- Ability to establish and maintain harmonious working relationships with co-workers, staff and external
- Proven track record of team leadership, and development of sustainable relationships
- Ability to work in an ever-growing global environment with domestic and international travel
Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.
Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled
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