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An established industry player is seeking detail-oriented individuals for a freelance Online Data Analyst role. This exciting opportunity allows you to work from home while contributing to the enhancement of digital maps used by millions worldwide. You will perform research and evaluation tasks, ensuring the relevance and accuracy of information. With no prior experience required, this part-time long-term project offers flexibility and the chance to develop your skills in a supportive environment. Join a diverse and inclusive community dedicated to equal opportunities and make a meaningful impact in the digital landscape.
Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.
A Day in the Life of an Online Data Analyst:
Qualification Path:
No previous professional experience is required to apply for this role; however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project, and your work will be subject to our standard quality assurance checks during the term of this agreement.
Basic Requirements:
Assessment:
In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.
Equal Opportunity:
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.