Data Entry Clerk
@ UPS

Changi, East Region, Singapore
$30,000
On Site
Part Time
Posted 8 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXXXX XXXXXX***** @ups.com
Recommended after applying

Job Details

Overview

Join UPS, a Fortune Global 500 organization as a Data Entry Clerk. In this role, you will be part of a talented team dedicated to ensuring smooth customs clearance through accurate document scanning and data entry.

Job Responsibilities

  • Key entry of shipment information.
  • Scanning and uploading shipment records into IDIS system.
  • Auditing paperwork, printing barcodes, and verifying discrepancy reports.
  • Performing administrative duties and maintaining paperwork hygiene.
  • Contacting customers via call/email to retrieve missing documentation.

Job Requirements

Candidates should possess at least a GCE 'O' or 'N' Certificate and preferably 1-2 years of relevant experience. Proficiency in data entry with a typing speed of 40wpm, ability to work independently, and willingness to work evening shifts, one Saturday per month, and overtime on public holidays is required. Work locations alternate between 22 Changi South and Airport Cargo Road.

Key skills/competency

  • data entry
  • scanning
  • auditing
  • custom clearance
  • documentation
  • administration
  • imaging
  • typing
  • accuracy
  • customer service
Apply without a personalized resume

How to Get Hired at UPS

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data entry experience.
  • Tailor your cover letter: Emphasize scanning and auditing skills.
  • Research UPS culture: Understand their values and operational focus.
  • Practice interview questions: Prepare examples of accuracy and independent work.

📝 Interview Preparation Advice

Technical Preparation

Practice using data entry systems.
Improve scanning and auditing speed.
Review mainframe upload procedures.
Test typing accuracy at 40wpm.

Behavioral Questions

Describe a challenge resolved independently.
Explain teamwork experience in data tasks.
Discuss handling repetitive work efficiently.
Share an example of document accuracy focus.

Frequently Asked Questions