•⁠ Sourcing and processing large datasets from agricultural operations.• Creating detailed reports and visualizations to communicate data findings related to agricultural productivity and resource management to stakeholders, ensuring data-driven decision-making processes in farming practices.• ⁠Managing and maintaining agricultural databases to ensure data integrity, accuracy, and availability for analysis and reporting, supporting efficient farm management.•⁠ ⁠Collaboration: Working closely with cross-functional teams, including agronomists, farm managers, and marketing, to provide data insights that support their objectives and align with agricultural business goals.•⁠ ⁠Applying statistical methods to analyze and interpret agricultural data, providing actionable insights and recommendations for improving crop yields and farm profitability.•⁠ ⁠Utilizing data analytics tools to track, measure, and report on key performance indicators (KPIs) related to agricultural productivity and resource use efficiency, identifying areas for improvement and implementing strategies to optimize performance.•⁠ ⁠Conducting market research and competitor analysis within the agricultural sector to inform business strategies and identify opportunities for growth in farming operations.•⁠ Supporting the development and execution of strategic initiatives in agriculture by providing data-driven insights and recommendations to improve farming practices and outcomes.