Data / Business Intelligence Analyst at a Leading Multinational and Well-structured Agribusiness Group - Workforce Group

Workforce Group - Our client is a leading multinational and well-structured agribusiness group with large-scale plantation and agricultural operations across Nigeria, Ghana and other countries. They are focused on driving operational excellence through data, analytics, and structured planning, leveraging technology and insights to optimize yield, resource allocation, and overall farm productivity.

They are recruiting to fill the position below:

Job Title: Data / Business Intelligence Analyst

Location: Benin City, Edo
Employment Type: Full-time

Role Overview

• The Data / Business Intelligence Analyst & Agricultural Planner will play a critical role in developing dashboards, driving analytics, and supporting agricultural planning and forecasting across the group.
• This role combines data analytics, statistical modelling, and agricultural operations planning, supporting decision-making at both operational and strategic levels.

Key Responsibilities

• Develop and manage agricultural dashboards and reporting systems (daily, weekly, monthly)
• Consolidate and analyze performance KPIs across multiple subsidiaries
• Conduct statistical modelling, forecasting, and trend analysis (yield, crop performance, inputs, etc.)
• Support master agricultural planning and operations scheduling
• Provide insights to support business decisions and operational efficiency
• Build and maintain data pipelines and ensure data integrity and governance
• Support planning of inputs (fertilizer, agrochemicals, labour, etc.)
• Collaborate with field teams, GIS, R&D, and IT teams

Requirements

• Degree in Data Science, Statistics, Computer Science, Agricultural Engineering, Agro-Economy, or related field
• Experience in the Agric Field and FMCG is a plus.
• Strong experience in data analytics, dashboarding, and reporting
• Proficiency in Power BI, Tableau, or similar tools
• Good knowledge of SQL, databases, and data management
• Experience with Python or R is an added advantage
• Understanding of agricultural operations (oil palm, crops, plantation systems) is a huge plus
• Strong analytical, problem-solving, and communication skills

What Success Looks Like

• Accurate and timely reporting dashboards
• Improved forecasting and planning efficiency
• Better decision-making driven by actionable insights
• Standardized and high-quality data across operations

Benefits

• Salary: N800,000 monthly.
• Accomodation provided.

Application Closing Date
Not Specified.