Inventory Analyst, Coke & Coal Supply Chain

Flame Colombia SAS

Colombia

Sur place

COP 35 000 000 - 52 000 000

Plein temps

Il y a 46 heures
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Résumé du poste

Flame Colombia SAS is seeking an Inventory Analyst based on-site in Colombia. You will monitor stock levels, analyze movements, and keep precise records for coke and coal across warehouses and logistics channels. Collaborate with operations, supply chain, and finance to support purchasing and shipment planning.

You will drive process improvements, implement control measures to reduce discrepancies, and deliver timely, data-driven insights for optimal decision making.

Qualifications

  • Experience in inventory analysis and management to track, optimize stock levels.
  • Ability to reconcile physical inventory with system data and generate reports.
  • Experience in supply chain, logistics, or commodity trading is beneficial.
  • Proficient with spreadsheets and ERP/inventory systems.
  • Strong attention to detail and accuracy; good problem-solving.

Responsabilités

  • Monitor inventory levels across warehouses and logistics channels.
  • Analyze stock movements and maintain accurate records.
  • Reconcile physical inventory with system data and prepare stock status reports.
  • Coordinate with operations, supply chain, and finance to support planning.
  • Implement controls to reduce discrepancies and improve processes.
  • Provide data-driven insights to support decision-making.

Connaissances

Inventory Analysis
Inventory Management
Analytical Skills
Communication
Attention to detail
Problem solving

Formation

Business/Logistics degree (advantageous)

Outils

Spreadsheet software
ERP systems

Description du poste

Flame Colombia SAS is seeking an Inventory Analyst based on-site in Colombia. You will monitor stock levels, analyze movements, and keep precise records for coke and coal across warehouses and logistics channels. Collaborate with operations, supply chain, and finance to support purchasing and shipment planning.

You will drive process improvements, implement control measures to reduce discrepancies, and deliver timely, data-driven insights for optimal decision making.

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