Data Analyst

Company Description

Agbeyewa Farms is a leading cassava cultivation company dedicated to sustainable and profitable agricultural practices in Nigeria. We are committed to empowering local communities, improving food security, and contributing to the growth of the Nigerian agricultural sector.

The Processing Manager will be responsible for the end-to-end management of the cassava processing unit. This includes overseeing all stages from raw cassava intake and processing to quality control, packaging, and logistics. The ideal candidate will be a hands-on leader who can drive operational excellence, ensure safety compliance, and maximize productivity and profitability. 

We are seeking talented professionals who are passionate about socio-economic development through agricultural and Agro-allied investments

Job Description

• 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.

Additional Information

• Competitive Compensation.   
• 5-day workweek.   
• Competitive Health Insurance (Employee + Spouse + 4 children).   
• Wellness Programs   
• Employee Training Programs   
• Growth and Development   
• Mentoring and Counseling   

Office base: Ekiti State