Data Analyst at LinkedIn
Lowa, Bremen, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 26

Salary

0.0

Posted On

18 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Services

Description


Key Responsibilities

  • Reconcile and validate transport, commodity, and inventory data to ensure data accuracy and integrity across all systems and records.
  • Verify shipment details against supporting documentation, investigate discrepancies, and coordinate with relevant stakeholders to ensure timely resolution.
  • Maintain and manage reporting documentation, ensuring accurate, consistent, and accessible data for operational and business reporting.
  • Perform ongoing analysis of supply chain and trade finance data to identify trends, inefficiencies, risks, and opportunities for improvement.
  • Develop, maintain, and enhance reports, dashboards, and data models that provide clear, actionable insights aligned with business and client requirements.
  • Organize, cleanse, and manage large datasets, ensuring information remains accurate, up-to-date, and readily available for stakeholders.
  • Support operational teams by delivering data-driven recommendations and technical solutions that improve workflows, efficiency, and process performance.
  • Design and implement data visualizations and dashboards to effectively communicate complex information and support informed decision-making.
  • Collaborate with IT and business teams to develop, test, and enhance databases, reporting tools, and data management processes.
  • Provide analytical support to key stakeholders by delivering detailed reporting, performance analysis, and recommendations to optimize supply chain and trade finance operations.
  • Monitor data quality standards and implement controls to ensure consistency, compliance, and accuracy across reporting processes.
  • Assist in continuous improvement initiatives by identifying automation opportunities and recommending enhancements to reporting and operational procedures.


Qualifications & Experience

  • Bachelor's Degree in Computer Engineering, Computer Science, Information Technology, Data Analytics, or a related technical discipline.
  • 6 months to 2 years of experience in Data Analysis, Supply Chain Analytics, Logistics Operations, Trade Support, or a similar analytical role.
  • Experience within logistics, supply chain, freight forwarding, commodity trading, or trading house environments will be bonus.
  • Strong proficiency in Microsoft Excel
  • Strong analytical and problem-solving skills with high attention to detail.
  • Excellent communication skills with the ability to collaborate effectively with internal stakeholders and external partners, including freight forwarders.
  • Comfortable working in a fast-paced operational environment and managing day-to-day data-related activities.
  • Tech-savvy, analytical, detail-oriented, and confident communicating with both internal teams and external stakeholders.


Preferred Skills

  • Hands-on experience with Power BI for reporting and dashboard creation.
  • Basic knowledge of Python for data analysis or process automation.
  • Exposure to CRM systems.
  • Understanding of supply chain, logistics, transportation, inventory, or commodity trading processes.
  • Strong technical aptitude and ability to learn new systems quickly.

Requirements added by the job poster

• 1+ years of Transportation, Logistics, Supply Chain and Storage experience

• 1+ years of work experience with Microsoft Excel

How To Apply:

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Responsibilities
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