Fuel Loading and Logistics Officer

Dangote | Lagos, Nigeria

Full-Time Posted 3 weeks ago 73 views

About the Role

The Dangote Group is one of the most diversified business conglomerates in Africa with a hard-earned reputation for excellent business practices and product quality, operating from our headquarters in Lagos, Nigeria. We are currently seeking a dedicated and experienced Fuel Loading and Logistics Officer to join our dynamic logistics team and manage the efficient distribution and supply chain processes for AGO and fuel.

Key Responsibilities
  • Track fuel movement and ensure accurate stock levels at storage facilities while reconciling received versus dispatched volumes to prevent losses.
  • Ensure strict adherence to Health, Safety, and Environment (HSE) policies, refinery regulations, and industry loading safety protocols.
  • Prepare comprehensive daily, weekly, and monthly logistics reports on fuel movement, inventory status, and operational bottlenecks.
  • Collaborate with finance and IT teams to verify invoices, process payments, and optimize logistics tracking software.
  • Maintain effective communication with refinery staff, transporters, and corporate clients to ensure seamless operations and high satisfaction.
Qualifications
  • Bachelor’s Degree or HND from a reputable tertiary institution.
  • Minimum of 4 years of relevant professional experience in the oil and gas or logistics sector.
  • Demonstrated expertise in loading operations coordination, inventory control, and documentation.
  • Strong knowledge of HSE regulations, safety management, and product handling standards.
  • Excellent problem-solving abilities with a proven track record of optimizing supply chain processes and turnaround times.
Benefits
  • Comprehensive private health insurance coverage.
  • Paid time off and robust leave policies.
  • Continuous training, professional development, and career growth opportunities.

Skills

Logistics Management Inventory Control HSE Compliance Supply Chain Coordination Operations Optimization Risk Assessment

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