Live opening · Posted 3 days ago
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About the role
Description supplied by the original job listing.
Entry-Level Data Optimization Analyst | Remote – Australia
AUD $38–$50 per hour
Please note: This vacancy is open exclusively to candidates who are currently residing in Australia.
A Simple Way to Begin a Career in Data
We’re expanding our remote team and looking for someone who is comfortable working with information, online systems and structured tasks.
As a Data Optimization Analyst, you’ll help ensure digital information stays organised, accurate and up to date. This is an entry-level position, so you don’t need a professional data background to apply.
Most tasks follow established procedures, and training will be provided before you begin working independently.
What Does the Work Involve?
Your day-to-day activities may include reviewing information, updating records, checking data for basic errors, making straightforward corrections and keeping digital records organised.
You may also assist with routine system updates and other data-related support tasks as required.
You May Be a Good Fit If You:
Are comfortable using a computer and online systems
Have good attention to detail
Can follow clear instructions and established processes
Are organised and reliable
Are willing to learn new systems
Have basic spreadsheet knowledge — helpful, but not essential
Previous professional data experience is not required.
Role Snapshot
Pay: AUD $38–$50 per hour
Workplace: Remote / Work from Home
Hours: Flexible
Options: Part-Time or Full-Time
Experience Level: Entry Level
Training: Provided
Location Eligibility
Applicants must currently be based in Australia.
This is an Australia-based remote opportunity, and applications from candidates currently residing overseas will not be considered.
We are a third-party recruitment partner supporting the initial screening process for this vacancy.
If you’re currently living in Australia and would like to gain practical experience working with data and online systems, submit your application through LinkedIn.
Work arrangement
Yes
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