Analyzes moderately complex datasets to support corporate audit objectives, including control effectiveness, operational and IT risk assessment, anomaly detection, and audit findings. Builds automated reports, dashboards, and visualizations; validates data accuracy and integrity; identifies process improvements; and collaborates with auditors, data engineering, and technology teams. Requires knowledge of audit, risk, Finance or IT processes, with preferred experience in Power BI, Tableau, SQL, Python, ERP systems, and AI tools.
Job Purpose and Impact
The Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With limited supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job supports the effective presentation of data findings to partners to meet business objectives. In addition, this role requires experience applying data analytics within an Internal Audit context, particularly in Finance or IT processes. A strong understanding of risks and controls in these domains is critical to ensure analytics outputs directly support audit objectives and assurance activities.
Key Accountabilities
Qualifications
MINIMUM QUALIFICATIONS
PREFERRED QUALIFICATIONS
The Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With limited supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job supports the effective presentation of data findings to partners to meet business objectives. In addition, this role requires experience applying data analytics within an Internal Audit context, particularly in Finance or IT processes. A strong understanding of risks and controls in these domains is critical to ensure analytics outputs directly support audit objectives and assurance activities.
Key Accountabilities
- 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
Qualifications
MINIMUM QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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 domain.
- Experience in an environment using Agile processes.
Cargill Bengaluru, Karnataka, IND Office
Cargill’s office is part of a major IT hub in Bengaluru, offering top-tier amenities, including a vibrant cafeteria, sports facilities, and digitalized services. Convenient housing and dining options, and robust transportation make the location a convenient place to live and work.
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What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
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