Data Entry Specialist

  • Full Time
  • Dubai

Noorka Logistics is seeking a detail-oriented and highly accurate Data Entry Specialist to join our operations team in Dubai. This role is ideal for a candidate who excels in handling large volumes of information, maintaining data accuracy, and supporting logistics operations through efficient record management in a fast-paced environment.

Key Responsibilities:

  • Accurately enter shipment, inventory, and client data into company systems.
  • Update and maintain databases with current and correct information.
  • Verify data for errors, inconsistencies, or missing information.
  • Prepare reports and summaries based on entered data.
  • Coordinate with logistics, warehouse, and finance teams to collect required information.
  • Maintain confidentiality of sensitive company and client information.
  • Scan, organize, and file digital and physical documents properly.
  • Ensure compliance with company data management policies.
  • Assist in administrative tasks when required.

Requirements:

  • High school diploma or Bachelor’s degree in Business Administration or a related field.
  • 1–3 years of experience in data entry or administrative support, preferably in logistics.
  • Strong typing speed and high level of accuracy.
  • Proficiency in MS Office, especially Excel.
  • Familiarity with ERP or logistics management systems is an advantage.
  • Excellent attention to detail and organizational skills.
  • Ability to meet deadlines and handle repetitive tasks efficiently.

Skills & Competencies:

  • Strong concentration and focus
  • Good time management skills
  • Analytical and problem-solving abilities
  • Ability to work independently and in a team
  • Professional and responsible attitude

At Noorka Logistics, accurate data management is essential for smooth supply chain operations. This Data Entry Specialist position in Dubai offers a great opportunity to grow within a professional logistics company while contributing to efficient and organized operational processes.

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