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- Tasks: Join us to process and extract data using cutting-edge software.
- Company: Rhenus is a top employer focused on innovation and teamwork.
- Benefits: Enjoy a supportive culture with opportunities for growth and development.
- Why this job: Make an impact in data processing while learning valuable skills in automation.
- Qualifications: No prior experience needed, just a keen eye for detail and motivation.
- Other info: Be part of a passionate team dedicated to making a difference.
The predicted salary is between 20000 - 30000 £ per year.
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.
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:
- 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.
Data Processor employer: ALS Customs Services GmbH
Contact Detail:
ALS Customs Services GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Processor
✨Tip Number 1
Familiarise yourself with Intelligent Document Processing (IDP) software. Understanding how these systems work will give you a significant advantage during interviews, as you'll be able to discuss your insights and ideas on improving data extraction processes.
✨Tip Number 2
Showcase your attention to detail by preparing examples of how you've successfully managed data in the past. Whether it's through coursework or previous jobs, being able to demonstrate your ability to spot discrepancies will resonate well with the hiring team.
✨Tip Number 3
Network with current or former employees of Rhenus, if possible. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Prepare thoughtful questions about the role and the company's approach to data processing. This shows your genuine interest in the position and helps you stand out as a proactive candidate who is eager to contribute to the team.
We think you need these skills to ace Data Processor
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and skills required for the Data Processor position. Tailor your application to highlight how your experiences align with these requirements.
Highlight Relevant Skills: Emphasise your attention to detail, data processing experience, and familiarity with document analysis or automation tools. Use specific examples from your past experiences to demonstrate these skills.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your motivation for applying to Rhenus. Mention your enthusiasm for working in a team-oriented environment and your eagerness to contribute to their goals.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for the Data Processor role.
How to prepare for a job interview at ALS Customs Services GmbH
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Processor. Familiarise yourself with Intelligent Document Processing (IDP) software and be ready to discuss how you can contribute to data accuracy and efficiency.
✨Showcase Your Attention to Detail
Since this role requires a keen eye for detail, prepare examples from your past experiences where you successfully identified discrepancies or improved processes. This will demonstrate your capability in handling data accurately.
✨Prepare for Technical Questions
Expect questions related to data processing and document analysis. Brush up on relevant technical skills and be ready to explain how you would approach training the IDP system or optimising workflows.
✨Emphasise Team Collaboration
Rhenus values teamwork, so be prepared to discuss how you've worked effectively in teams before. Highlight your communication skills and your ability to collaborate with cross-functional teams to achieve common goals.
