• Design and maintain databases and data systems to organize and store raw data collected from farm sensors, processing equipment, financial software, and operational logs.
• Analyze yield per hectare, soil health metrics, and input costs to optimize planting and harvesting strategies.
• Track performance metrics for heavy equipment (HEME) to reduce downtime, predict maintenance needs, and optimize fuel consumption.
• Analyze throughput, quality control (QC) failure rates, and energy usage to identify bottlenecks in the cassava processing line.
• Create clear, interactive, and visually compelling reports, dashboards (e.g., using Power BI or Tableau), and presentations for executive leadership and department managers.
• Develop statistical models to forecast future yields, operational costs, and inventory needs.
• Collaborate with department heads (e.g., Head of Engineering, Processing Manager) to define and track relevant KPIs, providing timely variance analysis.
• Ensure the accuracy, integrity, and security of all collected data.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, Business Intelligence Analyst, or similar role. Experience in agriculture or manufacturing is a significant plus.
• Advanced proficiency in SQL for database querying and manipulation.
• Expertise in a data visualization tool (e.g., Power BI, Tableau, or Google Looker Studio).
• Strong working knowledge of statistical analysis software or programming languages (e.g., Python or R).
• Exceptional analytical, problem-solving, and critical thinking skills, with the ability to translate complex data into simple business terms.
• Excellent communication and presentation skills, capable of engaging both technical and non-technical audiences.