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Data processor

Cannock
ALS Customs Services GmbH
Posted: 25 July
Offer description

At Rhenus, we believe everyone plays a crucial role. Whether you’re driving a truck, managing inventory or handling customer enquiries, your actions drive our success. We value practical solutions and quick decisions, empowering you to take ownership and make a difference.

Recognised as a top employer, and united by a common goal, we are committed to fostering a workplace culture that encourages entrepreneurial spirit and continued growth and excellence.

The future isn’t just built by the company – it’s shaped by each of us, working together. Join our Rhenus community to make an impact, and grow alongside a team of passionate people who are dedicated to making a difference. #empoweredbyyou

We are seeking a motivated and detail-oriented Trainee to join our team. In this role, you will learn to process and extract data from documents using our state-of-the-art Intelligent Document Processing (IDP) software. You will play a critical role in ensuring the accuracy and efficiency of data extraction while developing skills in document analysis and automation workflows. This is an excellent opportunity for a candidate looking to start a career in data processing, automation, and digital transformation.

Main duties: To include, but not limited to

Document Processing and Data Extraction:

* Utilize our IDP software to process various document types, including invoices, purchase orders, contracts, and other business documents.
* Extract and validate key data fields, ensuring accuracy and completeness.
* Identify and resolve discrepancies or anomalies in extracted data.

System Training and Optimization:

* Train the IDP system by labelling data and creating rules to improve extraction accuracy.
* Provide feedback to refine and optimize software workflows and templates.

Data Entry and Validation:

* Manually review and enter data when required to support automation processes.
* Perform quality checks on processed data to ensure it meets organizational standards.

Collaboration and Communication:

* Work closely with team members and supervisors to meet project deadlines and objectives.
* Collaborate with cross-functional teams to troubleshoot issues and recommend improvements.

Reporting and Documentation:

* Document workflows, errors, and solutions to build a repository of best practices.
* Prepare and maintain reports related to data extraction performance and accuracy.
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