Opportunity brief
Cargill is hiring for the role of Data Analyst - Corporate Audit!
Responsibilities of the Candidate:
- DATA COLLECTION & ANALYSIS: Gathers, processes, prepares, and analyzes moderately complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis. - REPORTING & VISUALIZATION: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly. - STATISTICAL ANALYSIS: Supports statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis. - PROCESS IMPROVEMENT: Implements found opportunities to improve data collection and reporting processes and applies standard methodologies for data management and reporting. - COLLABORATION: Works closely with multi-functional teams to support data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to help ensuring data integrity and accuracy. - DATA ANALYSIS: Conducts moderately complex data analyses to uncover trends, patterns, and actionable insights for decision making. - QUALITY ASSURANCE & DATA VALIDATION: Performs moderately complex reports and analyses in support of the accuracy, consistency, and security of data. - AUDIT SUPPORT & RISK INSIGHTS: Applies analytics to assess the design and operating effectiveness of key controls, providing insights into operational and IT risks and supporting assurance activities. - FUNCTIONAL DOMAIN KNOWLEDGE: Leverages understanding of Operations or IT processes to develop relevant audit analytics tests and risk indicators that align with audit scope and objectives. - ISSUE IDENTIFICATION & REPORTING: Partners with auditors to translate data insights into meaningful audit findings, helping distinguish between exceptions, control gaps, and noise. - Other duties as assigned.
Requirements:
- Bachelor's degree in a related field or equivalent experience. - Technical expertise in Data analytics or Audit analytics or Risk analytics. - Minimum of two years of related work experience. - Other minimum qualifications may apply. - Should be flexible with shift timings. - Experience with data analytics, business intelligence, and visualizations using tools such as Microsoft Power BI or Tableau, SQL or Python. - Should have exposure to AI or AI Agents or ChatGPT or Copilot or Claude or LLM. - Demonstrates initiative and commitment for results. - Demonstrated ability to set priorities and manage multiple and concurrent priorities. - Demonstrated intellectual curiosity, desire to learn, discover and seek opportunities for improvement. - Experience with large ERPs such as SAP or Oracle. - Looking for candidates from Finance. - Experience in an environment using Agile processes.