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- Tasks: Conduct research and evaluate digital map content for accuracy and relevance.
- Company: Join TELUS Digital, a leader in enhancing AI and machine learning models globally.
- Benefits: Enjoy flexible hours, work from home, and a complimentary well-being package.
- Why this job: Be part of a vibrant community improving technology and digital experiences worldwide.
- Qualifications: Must be 18+, fluent in English, and familiar with UK geography and current affairs.
- Other info: This is a freelance role with no fixed schedule, perfect for balancing studies and work.
Join to apply for the Online Data Analyst role at TELUS Digital
4 weeks ago Be among the first 25 applicants
Join to apply for the Online Data Analyst role at TELUS Digital
We are hiring freelance English speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.
This is a freelance position on a flexible schedule – you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.
Requirements
- Full Professional Proficiency in English
- You must be living in United Kingdom the last 2 consecutive years
- Ability to follow guidelines and do research online using search engines, online maps and website information
- You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in United Kingdom
- Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
- Applicants must be 18 years or over.
Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.
Why Join the TELUS Digital Community?
- Earn additional income with flexible hours to fit your lifestyle
- Better work-life balance
- Be your own boss
- Complimentary Well-Being package encompassing a wealth of well-being resources.
- Be part of an online community
TELUS Digital partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. https://telusdigital.com
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Online Data Analyst employer: TELUS Digital
Contact Detail:
TELUS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Online Data Analyst
✨Tip Number 1
Familiarise yourself with the latest digital mapping technologies and tools. Understanding how these platforms work will not only help you in your tasks but also show your enthusiasm for the role during any discussions.
✨Tip Number 2
Brush up on your knowledge of UK geography, including both current and historical contexts. This will be crucial when verifying and comparing data, and it will demonstrate your attention to detail.
✨Tip Number 3
Engage with online communities or forums related to data analysis and digital mapping. Networking with others in the field can provide insights and tips that may give you an edge in the recruitment process.
✨Tip Number 4
Prepare for the open book assessment by reviewing common data analysis techniques and guidelines. Being well-prepared will help you complete the assessment confidently and effectively.
We think you need these skills to ace Online Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of an Online Data Analyst at TELUS Digital. Familiarise yourself with the tasks involved, such as verifying data and conducting research online.
Tailor Your CV: Highlight your relevant skills and experiences in your CV. Emphasise your attention to detail, research abilities, and any familiarity with geography or digital mapping that aligns with the job description.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the role. Mention your proficiency in English and your ability to follow guidelines, as these are key requirements for the position.
Prepare for the Assessment: Since the recruitment process includes an open book assessment, review the guidelines provided in the job description. Practice using online resources and search engines to ensure you're ready to demonstrate your research skills.
How to prepare for a job interview at TELUS Digital
✨Show Your Research Skills
Since the role involves a lot of research and evaluation, be prepared to discuss your research methods. Share examples of how you've successfully gathered and verified data in the past.
✨Demonstrate Attention to Detail
This position requires a keen eye for detail. During the interview, highlight instances where your attention to detail made a significant impact on a project or task.
✨Familiarise Yourself with Geography
Given the focus on national and local geography, brush up on relevant geographical knowledge. Be ready to discuss how this knowledge can aid in your role as an Online Data Analyst.
✨Understand the Guidelines
The job requires following specific guidelines for tasks. Familiarise yourself with the types of guidelines you might encounter and express your willingness to adhere to them during the interview.
