Remote Online Data Analyst - Enhance Global Digital Maps
About the Role
We are looking for a Remote Online Data Analyst to join our team at TELUS Digital. This freelance opportunity allows you to work at your own pace and from the comfort of your own home, focusing on enhancing the content and quality of digital maps used worldwide. As a Remote Online Data Analyst, you will play a crucial role in improving the accuracy and relevance of digital mapping data.
What You'll Do
- Conduct research and evaluation tasks online to enhance digital maps used globally.
- Verify and compare data for accuracy, ensuring high-quality digital map content.
- Work on diverse tasks including maps and news, adapting to various project requirements.
- Utilize your full professional proficiency in English to follow guidelines for online research.
- Engage with current and historical UK affairs to provide context and relevance to the data you analyze.
Requirements
- Full Professional Proficiency in English is required.
- Must be a resident of the UK for at least 2 years.
- Familiarity with UK business and cultural affairs is essential.
- Access to broadband internet and a computer is necessary for remote work.
- Ability to follow guidelines for online research and data verification.
Nice to Have
- Experience in data analysis or related fields.
- Familiarity with digital mapping technologies.
- Strong attention to detail and ability to work independently.
What We Offer
- Flexible working hours that allow you to balance your personal and professional life.
- Opportunity to contribute to global projects that impact users worldwide.
- Work from home, providing you with a comfortable and convenient work environment.
- Competitive salary based on experience and market standards.
- Access to a supportive team and resources to help you succeed in your role.
This Remote Online Data Analyst position at TELUS Digital offers a unique opportunity to work flexibly while enhancing global digital maps. Ideal for those with a keen eye for detail and a passion for data analysis.
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