Jobs at Flour Mills of Nigeria Plc

Purpose

• To oversee and manage dispatch operations, ensuring the timely, accurate, and cost-effective delivery of goods while maintaining compliance with safety, regulatory, and company standards.

The Job

• Supervise and coordinate daily dispatch operations to ensure on-time and accurate delivery of goods.
• Monitor vehicle movements and optimize route planning to improve operational efficiency.
• Ensure compliance with transportation regulations, safety standards, and company policies.
• Lead, coach, and evaluate dispatch personnel to drive productivity and performance.
• Collaborate with Warehouse, Logistics, and Supply Chain teams to ensure seamless dispatch activities.
• Analyze dispatch performance data and prepare reports to support continuous improvement initiatives.
• Resolve delivery issues, operational delays, and customer complaints in a timely manner.
• Maintain accurate dispatch records, vehicle logs, fuel consumption records, and operational documentation.
• Implement cost-saving initiatives to improve fleet utilization and reduce transportation costs.
• Oversee fleet maintenance and utilization to minimize downtime and ensure operational readiness.

Requirements

• HND/Bachelor's Degree in Logistics, Supply Chain Management, Business Administration, or a related field.
• Minimum of 5 years' experience in Dispatch, Logistics, or Transportation Management.
• Experience within the FMCG, Manufacturing, or Transport industry will be an added advantage.

The Person Must: ​

• Demonstrate strong leadership and team management skills.
• Possess excellent planning, coordination, and problem-solving abilities.
• Have strong analytical skills with the ability to optimize routes and control operational costs.
• Be proficient in logistics, fleet, and dispatch management systems with the ability to work effectively under pressure.

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Purpose

• To lead the demand planning and forecasting process, ensuring accurate demand projections, optimized inventory levels, and efficient supply chain operations.

The Job

• Develop and implement robust demand planning processes to improve forecast accuracy and supply chain efficiency.
• Analyze historical sales data, market trends, seasonality, and promotional activities to predict future demand.
• Collaborate with Sales, Marketing, Production, Procurement, Finance, and Supply Chain teams to align demand forecasts with business objectives.
• Monitor demand patterns and adjust forecasts based on real-time market conditions, customer requirements, and business developments.
• Identify demand fluctuations and develop mitigation strategies to reduce stockouts, excess inventory, and supply disruptions.
• Utilize statistical forecasting models, data analytics tools, and industry best practices to enhance forecast reliability.
• Lead cross-functional demand review meetings to ensure alignment between demand and supply plans.
• Optimize inventory levels to balance customer service requirements with working capital and cost efficiency goals.

Requirements

• HND/Bachelor's Degree in supply chain management, Business Administration, Economics, Statistics, Operations Management, or a related field.
• ​Minimum of seven (7) years' experience in demand planning, forecasting, supply chain analytics, or related functions within a food manufacturing, FMCG, or similar industry.

The Person Must: ​

• Possess strong analytical and problem-solving capabilities.
• Have advanced knowledge of demand forecasting techniques and statistical analysis.
• Demonstrate strong proficiency in Microsoft Excel, Power BI, ERP systems, and demand planning tools.
• Possess excellent stakeholder management and cross-functional collaboration skills.

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Purpose

• To provide strategic and operational leadership for maintenance and engineering activities across feed mill operations, ensuring high equipment reliability, safe plant operations, optimized asset lifecycle management, and cost-effective maintenance practices that support continuous production and business performance.

The Job

• Develop and implement preventive, predictive, and reliability-centered maintenance strategies for all plant machinery, utilities, and support systems.
• Ensure high availability, reliability, and optimal performance of critical feed mill equipment through effective maintenance planning and execution.
• Lead troubleshooting activities and conduct root cause analysis for complex mechanical, electrical, and operational failures.
• Manage maintenance budgets, resources, and expenditure to achieve targeted maintenance costs and operational efficiency.
• Oversee spare parts planning and inventory optimization to balance equipment uptime and working capital requirements.
• Ensure full compliance with health, safety, environmental, and statutory requirements while promoting a strong safety culture.

Requirements

• Minimum of B.Sc. or HND in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, or a related Engineering discipline.
• Membership of the Council for the Regulation of Engineering in Nigeria (COREN) is required.
• ​Minimum of ten (10) to fifteen (15) years of experience in maintenance leadership within a manufacturing, feed milling, or industrial production environment.
• Strong hands-on knowledge of feed mill equipment, industrial maintenance practices, and asset reliability management.

The Person Must: ​ ​

• Demonstrate extensive knowledge of industrial maintenance, asset management, and engineering best practices.
• Have strong troubleshooting, analytical, and root cause analysis capabilities.
• Possess sound knowledge of feed mill operations and industrial manufacturing processes.
• Demonstrate strong financial acumen with the ability to manage budgets and control maintenance cost.

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Purpose 

• To transform complex business data into actionable insights by designing, developing, and maintaining dashboards, reports, and analytics solutions that support data-driven decision-making across the Group.

The Job

• Design, develop, and maintain Power BI dashboards and reports for Finance, Sales, Operations, Supply Chain, Inventory, Marketing, and Production functions.
• Build and manage data models, DAX measures, calculated columns, and KPI frameworks to support business reporting needs.
• Optimize dashboard performance to ensure fast load times, reliable refreshes, and a seamless user experience.
• Gather and analyze business requirements from stakeholders and translate them into effective reporting and analytics solutions.
• Present insights, trends, and recommendations to management in a clear and business-focused manner.
• Define, document, and maintain KPI standards and a centralized KPI dictionary to ensure consistency across the organization.
• Conduct data analysis to identify trends, anomalies, risks, and opportunities that drive business performance improvement.
• Support the adoption of self-service analytics by empowering users with intuitive dashboards and reporting tools.

Requirements

• HND/Bachelor's Degree in computer science, Information Technology, Data Science, Engineering, Statistics, Mathematics, or a related discipline.
• ​Minimum of 3–5 years' experience in Data Analysis, Business Intelligence, Reporting, or Power BI Development.

The Person Must: ​

• Possess strong analytical and problem-solving skills with the ability to convert complex data into meaningful business insights.
• Demonstrate advanced proficiency in Power BI, DAX, data modelling, and data visualization techniques.
• Have excellent stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences.

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Purpose 

• To build, maintain, and optimize scalable data pipelines and infrastructure that support enterprise reporting, analytics, business intelligence, and AI initiatives across the Group.

The Job

• Design, develop, and maintain ETL/ELT pipelines using Microsoft Azure Data Factory and Microsoft Fabric.
• Integrate data from ERP systems (AX 2012, D365), SQL databases, APIs, and third-party platforms into centralized data environments.
• Implement and manage Lakehouse architectures using Microsoft Fabric, OneLake, and Delta technologies.
• Monitor data pipeline performance, troubleshoot failures, and resolve data processing issues to ensure high system reliability.
• Develop and maintain scalable data models that support business intelligence, analytics, and reporting requirements.
• Ensure data quality by implementing validation checks, cleansing processes, and governance controls across all data sources.
• Apply DevOps best practices including CI/CD, version control, automated deployments, and code management.
• Collaborate with business analysts, data teams, and stakeholders to translate business requirements into technical data solutions.

Requirements

• HND/Bachelor's Degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
• ​Minimum of 3–6 years' experience in Data Engineering, Data Integration, Data Warehousing, or Data Platform Development.

The Person Must: ​

• Possess strong expertise in data engineering, data integration, and cloud-based data platforms.
• Demonstrate advanced proficiency in SQL, Azure Data Factory, Microsoft Fabric, APIs, and data modelling techniques.
• Have strong analytical and problem-solving skills with the ability to identify and resolve complex data quality issues