Supply Chain Analyst at Dangote

• To provide data-driven analysis, performance monitoring, forecasting, reporting, and decision support across procurement, inventory management, warehousing, logistics, and material planning functions. 
• The Supply Chain Analyst is responsible for generating actionable insights that improve supply chain efficiency, reduce costs, optimize inventory levels, enhance supplier performance, and support business continuity. 

Scope of Responsibility

• Analyzing inventory, warehousing, and logistics data. 
• Monitoring supply chain performance against established KPIs. 
• Supporting demand and material planning activities. 
• Developing dashboards, reports, and performance scorecards. 
• Identifying process improvement opportunities.
• Conducting spending, inventory performance analysis. 
• Supporting risk identification and mitigation initiatives. 
• Providing management with timely and accurate decision-support information.

Key Duties and Responsibilities
Supply Chain Analytics & Reporting:

• Develop and maintain supply chain dashboards and management reports. 
• Analyze procurement, inventory, logistics, and warehousing performance. 
• Monitor trends and identify performance gaps. 
• Provide regular KPI reporting to management. 
• Conduct root cause analysis on supply chain disruptions and inefficiencies

Inventory Analysis:

• Monitor inventory levels and stock movements. 
• Analyze slow-moving, obsolete, and excess inventory. 
• Recommend inventory optimization strategies. 
• Support inventory accuracy improvement initiatives. 
• Analyze stock-out risks and critical spare parts availability

Logistics & Distribution Analysis:

• Monitor transportation and logistics performance. 
• Analyze freight costs and delivery performance. 
• Support logistics optimization projects. 
• Track demurrage and detention costs.

Planning Support:

• Support demand forecasting and material planning activities. 
• Analyze consumption trends and planning assumptions. 
• Assist in developing replenishment strategies. 
• Monitor forecast accuracy.

Continuous Improvement:

• Identify opportunities for process optimization.
• Support Lean and continuous improvement initiatives.
• Participate in supply chain transformation projects
• Develop business cases for operational improvements.

Data Governance:

• Ensure data quality and integrity. 
• Support master data management activities
• Maintain reporting standards and documentation.

Key Requirements
Education and Work Experience:

• Bachelor's Degree in: Engineering, Supply Chain Management, Logistics, Economics, Operations Management, Business Administration 
• 3–7+ years of progressive experience in supply chain management or heavy manufacturing. 
• Master's Degree/MBA – added advantage. 
• Professional certification (Lean Six Sigma Green Belt, CIPS, APICS, CILSCM etc.) is an advantage
• Experience managing multiple priorities, deadlines, and stakeholders simultaneously without loss of quality 
• Experience with ERP systems and business intelligence tools. 
• Proficiency in Microsoft Office 365 suite — advanced Excel, PowerPoint, Word and Outlook skills are essential 
• Knowledge of data- management, report generation, and basic data analysis using Excel or BI tools (Power BI, Tableau)

Functional Competencies:
Supply Chain Management:

• Inventory Management 
• Materials Planning
• Demand Forecasting
• Logistics Management 
• Supplier Performance Management 

Analytical Competencies:

• Data Analysis 
• Statistical Analysis 
• Trend Analysis 
• Root Cause Analysis 
• Cost Analysis
• Scenario Planning

Performance Management:

• KPI Development 
• Dashboard Management 
• Performance Reporting 
• Benchmarking

Financial Acumen:

• Spend Analysis 
• Cost Control 
• Budget Monitoring 
• Working Capital Analysis

Digital Competencies:

ERP Systems: 

• SAP S/4HANA 
• SAP MM 
• SAP WM/EWM
• SAP Ariba (advantageous)

Data Analytics Tools:

• Monitor Power BI 
• Tableau 
• Qlik Sense

Advance Spreadsheet Skills:

• Microsoft Excel (Advance) 
• Power Query
• Power Pivot
• VBA (advantageous)

Data Management:

• SQL
• Data Visualization 
• Data Cleansing
• Data Governance 

Supplier Chain Systems:

• Inventory Optimization Tools 
• Demand Planning Systems 
• Warehouse Management Systems (WMS) 
• Transportation Management Systems (TMS)

Digital Transformation:

• Process Automation 
• AI-Assisted Analytics 
• Predictive Analytics 
• Digital Reporting Solutions

Behavioural Competencies:

• Analytical Thinking : Ability to interpret complex data and generate actionable insights. 
• Attention to Detail: Maintains high levels of accuracy and data integrity. 
• Problem Solving: Identifies issues and develops practical solutions. 

Communication Skills:

• Presents complex information clearly to stakeholders. 
• Business Partnering: Collaborates effectively across multiple functions. 
• Initiative: Proactively identifies improvement opportunities. 
• Stakeholder Management: Builds productive relationships across the organization. 
• Continuous Learning: Demonstrates commitment to professional development and innovation. 
• Accountability: Takes ownership of deliverables and results. 
• Adaptability: Works effectively in a fast-changing operational environment. 

KPIs

• Timely Submission of Reports (%) 
• Dashboard Availability/Uptime (%)
• Identified Cost Saving Opportunities (USD) 
• Continuous Improvement Number of Improvement Initiatives Implemented
• Master Data Accuracy (%) 
• Stakeholder Satisfaction Score 
• Reporting and Audit Compliance.