At a Glance
- Tasks: Enter financial data and match invoices in a fast-paced environment.
- Company: Join Prime Appointments, a leading recruitment agency in Ipswich.
- Benefits: Earn £12.71 per hour with full training provided.
- Other info: Monday to Friday role with potential for career growth.
- Why this job: Gain valuable experience in the Ocean Freight Forwarding team.
- Qualifications: Attention to detail and ability to handle large data volumes.
The predicted salary is between 12.71 - 12.71 £ per hour.
Prime Appointments Recruitment Agency in Ipswich is seeking a Data Entry Clerk for a full-time temporary role in the Ocean Freight Forwarding team.
The position runs Monday to Friday, 9:00am–5:30pm, at £12.71 per hour, on-site in Ipswich.
Key duties include entering financial data, matching invoices, handling large data volumes accurately, and supporting general admin duties.
Full training will be provided; driving is required due to the office location.
Temp Data Entry Clerk - Financial Data & Freight Ops in Ipswich employer: Prime Appointments Recruitment Agency
Join a reputable independent food product manufacturer in Earls Colne, where we prioritise a supportive work culture and employee development. Enjoy the benefits of a stable Monday to Friday schedule, on-site parking, and the opportunity for a permanent position after your temporary role. We value our team members and provide a rewarding environment for those looking to grow in the food production industry.
Contact Details:
Prime Appointments Recruitment Agency Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Temp Data Entry Clerk - Financial Data & Freight Ops in Ipswich
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We think you need these skills to ace Temp Data Entry Clerk - Financial Data & Freight Ops in Ipswich
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
