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Data Processor

Technology
Tribe Human Resources
Sydney, Australia3 weeks agoUntil 04/06/2026
Part time

Job description

Data Processor – Australia

Our team is currently seeking detail-oriented individuals to join us as Data Processors. This role focuses on handling data processing tasks, managing datasets, and ensuring accurate information within our internal systems.

The position offers flexible working arrangements and is open to candidates currently residing in Australia. Both experienced applicants and those new to the field are welcome to apply, as structured training will be provided.

Role Overview As a Data Processor, you will assist in handling and organizing data, maintaining accurate records, and supporting day-to-day data operations. Your work will help ensure that data processes remain structured, consistent, and efficient.

Main Responsibilities

  • Assist in processing and updating data within internal systems
  • Organize and manage datasets from multiple sources
  • Verify and review data for accuracy and consistency
  • Maintain digital records and ensure proper data storage
  • Assist with routine data reports and updates
  • Support the team with daily data-related operational tasks
  • Communicate with team members regarding task progress and updates
Ideal Candidate We are looking for individuals who are:

  • Comfortable working independently in a remote environment
  • Detail-oriented and careful when handling data
  • Well-organized and able to follow clear instructions
  • Responsible and proactive in completing assigned tasks
  • Able to communicate effectively with remote team members
No prior experience is required, as training and guidance will be provided.

Job Details

  • Location: Remote (Australia)
  • Work Arrangement: Flexible schedule
  • Employment Type: Full-time or Part-time
  • Hourly Pay: AUD $36 – $50 depending on experience
  • Training: Paid onboarding and training support
  • If you are interested in a flexible remote opportunity and would like to gain experience in data processing and administrative operations, we encourage you to apply.

Keywords
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