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Remote Warehouse Data Analyst

Veröffentlicht am

Arbeitsort
Mtubatuba Local Municipality, Deutschland
Gehaltsschätzung
40.000–55.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-29). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.

Stellenbeschreibung

About the Role

Our client is seeking a proactive and analytical Remote Warehouse Data Analyst to join their expanding operations, supporting facilities in areas like Richards Bay . In this fully remote position, you will be responsible for collecting, analyzing, and interpreting vast amounts of warehouse and logistics data to identify trends, improve efficiency, and support strategic decision-making. Your insights will directly influence operational improvements, cost reductions, and overall supply chain performance. This role is ideal for a data-driven professional who excels at transforming complex data into actionable business intelligence from the comfort of their home office.

Key Responsibilities

  • Collect, clean, and organize data from various warehouse and logistics systems.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).
  • Analyze data to identify operational inefficiencies, cost-saving opportunities, and areas for improvement.
  • Provide data-driven recommendations to management for strategic planning and process optimization.
  • Collaborate with warehouse and logistics teams to gather requirements and deliver data insights.
  • Ensure data accuracy and integrity across all reporting tools.

Requirements

  • Proven experience as a Data Analyst , preferably in a logistics or warehouse environment.
  • Strong proficiency in data analysis tools such as SQL, Excel, and BI platforms (e.g., Tableau, Power BI).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to work independently and manage time effectively in a remote setting.
  • Strong communication skills to present findings clearly to non-technical audiences.

Benefits

  • Competitive salary and performance-based incentives.
  • Fully remote work arrangement, offering significant flexibility.
  • Comprehensive health, dental, and vision insurance plans.
  • Opportunities for professional development and continued learning in data analytics.
  • Work with cutting-edge technology and contribute to significant operational improvements remotely.

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