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ABOUT PROJECT

Are you a dedicated and motivated team player seeking an exciting opportunity? We are actively hiring for the role of a Warehouse Automation Analyst.

As a key member of our team, you will be responsible for supporting, monitoring, and maintaining the workflow of critical warehouse automation software that powers shipment conveyors, sorter arms, and CMC machinery across multiple sites in the United States.

Your primary focus will be addressing system-down issues within the US Region by collaborating closely with our international colleagues. Together, we escalate issues, communicate failures, and find swift resolutions. You’ll work alongside US-based teams of SAP Developers, Forms Architects, and Logistics Engineers to ensure seamless workflow and business continuity.

 

TECHNOLOGIES:

REQUIRED:

  • Practical experience with SAP R/3, SAP S/4, and EWM-MFS (including ABAP, modules SD/MM/FI, and WM

NICE TO HAVE:

  • Knowledge of C#, .NET Core, MS SQL Server, and Azure DevOps

 

RESPONSIBILITIES:

  • You are part of a global IT team responsible for process alignment within the US region, serving numerous clients.
  • Work effectively with cross-functional teams (Warehouse Operations, Engineering, Logistics Management) to align technology solutions with business needs.
  • Work independently in an international environment.
  • You proactively identify opportunities to increase efficiency within warehouse processes.
  • Address system issues promptly and coordinate resolution.
  • By leveraging automation, you contribute to streamlining operations and reducing manual effort.
  • Establishing robust monitoring and quality assurance processes is crucial.
  • You continuously monitor system performance and address any deviations promptly.
  • Your role involves ensuring seamless integration and alignment of technology solutions across different locations.
  • Clearly and proactively identify problematic issues (data or process) and communicate system problems to management and stakeholders.
  • You prioritize stakeholder needs and ensure timely communication
  • Clearly communicate issues to international colleagues.
  • Stay updated on industry trends and emerging technologies in warehouse automation.

 

OUR EXPECTATIONS:

  • You possess a deep understanding of logistics, including integrated Warehouse Management (WM) with handling unit (HU) management, RF scanning, batch management, and serialization.
  • Your knowledge extends to shipping and transport management
  • Familiarity with warehouse management systems (WMS), automation technologies, and RFID applications.
  • Ability to analyze data, identify trends, and propose process improvements.
  • Work with business users to gather details on issues and accurately categorize them for prompt resolution.
  • Your strong customer orientation drives effective problem-solving and support.
  • Problem-Solving and Detail-Oriented Approach:
  • Provide high-quality support across all areas of warehouse operations.
  • Demonstrate strong customer orientation, commitment, and initiative.
  • Exposure to robotics, process automation, and programmable logic controllers.

NICE TO HAVE:

  • A degree in computer science or a closely related field, or equivalent experience.
  • Openness to business trips (domestic and international).

 

WE PROVIDE SUCH DEVELOPMENT OPPORTUNITIES:

  • The possibility of courses, training, and certifications, allowing for the improvement of current skills and development in your preferred direction,
  • Industry e-learning platforms,
  • Time for the development of your ideas,
  • Soft skills training,
  • Substantive support from technological leaders,
  • Exchange of technical knowledge within the company.

 

WE OFFER:

  • Participation in developing projects that have an impact on the operation of Arvato,
  • Work based on agile methods,
  • The possibility of working from home 2 days a week,
  • A well-coordinated team providing a great atmosphere!

 

 


Segment pracy: Computer Science, Warehouse, Quality Assurance, QA, RF, Technology, Manufacturing, Quality, Science

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