As a Consultant in Data Analytics & Reporting for Ag & Trading, you will be responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights. Your role will involve building detailed reports and dashboards using specific tools. You will collaborate with cross-functional teams to ensure data accuracy and integrity while performing data and statistical analysis using various programming languages. **Key Responsibilities:** - **Data Collection & Analysis:** Gather, process, prepare, and analyze moderately complex datasets to extract significant insights. Develop and maintain automated reporting systems to streamline data analysis. - **Reporting & Visualization:** Implement detailed reports and dashboards using various tools. Design and complete data visualizations to communicate moderately complex data clearly. - **Statistical Analysis:** Support statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis. - **Process Improvement:** Implement opportunities to improve data collection and reporting processes. Apply standard methodologies for data management and reporting. - **Collaboration:** Work closely with multi-functional teams to support data needs, value opportunities, and deliver solutions in partnership with digital technology and data engineering teams to help ensure data integrity and accuracy. - **Data Analysis:** Conduct moderately complex data analyses to uncover trends, patterns, and actionable insights for decision-making. - **Quality Assurance & Data Validation:** Perform moderately complex reports and analyses in support of the accuracy, consistency, and security of data. **Qualifications:** - Minimum requirement of 4 years of relevant work experience, typically reflecting 5 years or more of relevant experience. - **Business Analysis & Data Expertise:** Proven experience as a Business Analyst with exposure to data analytics in trading or supply chain domains, including requirements gathering and translating business needs into technical specifications. - **Data Modeling & Architecture:** Solid understanding of data modeling concepts, relational structures, and data architecture principles for analytics and reporting. - **SQL Proficiency:** Advanced skills in writing complex SQL queries for data extraction, transformation, and validation. - **Analytical & Problem-Solving:** Ability to interpret large datasets, identify trends, and provide actionable insights with attention to detail. - **Stakeholder Management:** Excellent communication skills to collaborate with traders, supply chain managers, IT teams, and leadership effectively. - **Application Support:** Ability to support and maintain existing business applications, including troubleshooting issues, coordinating fixes with technical teams, and ensuring minimal disruption to operations. *Note: Additional details about the company were not provided in the job description.* As a Consultant in Data Analytics & Reporting for Ag & Trading, you will be responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights. Your role will involve building detailed reports and dashboards using specific tools. You will collaborate with cross-functional teams to ensure data accuracy and integrity while performing data and statistical analysis using various programming languages. **Key Responsibilities:** - **Data Collection & Analysis:** Gather, process, prepare, and analyze moderately complex datasets to extract significant insights. Develop and maintain automated reporting systems to streamline data analysis. - **Reporting & Visualization:** Implement detailed reports and dashboards using various tools. Design and complete data visualizations to communicate moderately complex data clearly. - **Statistical Analysis:** Support statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis. - **Process Improvement:** Implement opportunities to improve data collection and reporting processes. Apply standard methodologies for data management and reporting. - **Collaboration:** Work closely with multi-functional teams to support data needs, value opportunities, and deliver solutions in partnership with digital technology and data engineering teams to help ensure data integrity and accuracy. - **Data Analysis:** Conduct moderately complex data analyses to uncover trends, patterns, and actionable insights for decision-making. - **Quality Assurance & Data Validation:** Perform moderately complex reports and analyses in support of the accuracy, consistency, and security of data. **Qualifications:** - Minimum requirement of 4 years of relevant work experience, typically reflecting 5 years or more of relevant experience. - **Business Analysis & Data E