OverviewJoin to apply for the Data Analyst (0 Experience Required) role at Peroptyx.For thousands of years, maps have provided humans with the knowledge they need to make decisions.
As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country.
At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications.
Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe.
You will verify that business names and opening hours are correct and check that the distance from a starting point to an end destination is listed accurately, resulting in better user experiences.
You can plan your days around a highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office.
The flexibility of our roles minimizes the impact on your daily routine, suitable for students, retirees, part time/full-time professionals or work-from-home parents.
Work up to 20 hours per week.
Earn a competitive rate of pay.
Avoid the long commute.
Work from the comfort of your home office.
Enjoy the flexibility of setting your own working hours.
Ideal Candidate
Excellent local knowledge of your home country.
Good understanding and general knowledge of the geography and culture of Australia.
Analytical mindset.
Job Requirements
Must be living in Australia for a minimum of 5 consecutive years.
Must pass an online open-book exam that verifies your understanding of the material and concepts.
Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability.
Good working knowledge of search engines, map applications and familiarity with social media platforms.
Strong ability to learn, understand and apply multiple sets of different instructions.
All work must be of an independent nature.
Employment details
Seniority level: Entry level
Employment type: Part-time
Job function: Information Technology and Analyst
Industries: IT Services and IT Consulting and Data Infrastructure and Analytics
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