Job Summary:

The Cash Collection Specialist is responsible for managing and following up on outstanding customer payments for the KSA market. The role ensures that all dues are collected on time, accurately recorded, and handled professionally while maintaining a positive customer experience.

Key Responsibilities:

• Customer Payment Follow-up
• Contact customers with overdue payments via calls, WhatsApp, and emails
• Remind customers of upcoming due dates and guide them through payment options
• Escalate delayed or disputed cases to the Supervisor for further action
• Coordinate with the Force Collection (FC) and Finance teams on non-responsive or default cases
• Payment Tracking & Reconciliation
• Maintain an updated tracker for all pending and completed payments
• Verify payment proofs received from customers before confirming collection
• Update the system once payments are received and validated
• Support reconciliation between customer records and finance data
• Customer Support
• Provide clear and professional responses to customer payment-related inquiries
• Support customers with payment links, invoices, or clarifications as needed
• Ensure all interactions are logged in Freshdesk or the assigned CRM system
• Reporting
• Share daily and weekly reports on collection progress and overdue accounts
• Highlight high-risk customers or repeated payment delays to the Supervisor
  
  

Key Metrics (KPIs):

• Collection Rate (90% of collected vs. total due)
• Average Payment Delay (7 Days)
• Resolution Time for Payment Queries
• Accuracy of Collection Data Updates (99.9%)
  
  

Requirements

• Bachelor's degree
• 2-3 years of experience in customer collections, billing, or customer service
• Strong communication skills in Arabic and English (spoken and written)
• Confident in handling customer follow-ups and payment discussions
• Proficient in Excel/Google Sheets and ticketing systems (e.g., Freshdesk)
• Organized, detail-oriented, and reliable under pressure
• Professional and empathetic communication
• Persistence and results-driven approach
• High attention to accuracy and data integrity
  
  

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