At a Glance
- Tasks: Enhance digital maps through research and data evaluation from home.
- Company: Join TELUS Digital AI, a vibrant community of 1 million+ contributors.
- Benefits: Earn extra income, choose your hours, and access well-being initiatives.
- Other info: Enjoy a supportive, diverse community with equal opportunity for all.
- Why this job: Make a real impact on AI development while working flexibly.
- Qualifications: No prior experience needed; just a passion for research and UK knowledge.
The predicted salary is between 13 - 16 £ per hour.
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. Join us today and be part of a dynamic and innovative team that is making a difference in the world!
TELUS Digital AI Community
Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.
Tasks
A Day in the Life of an Online Data Analyst:
- In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide.
- Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.
Requirements
Qualification path
- No previous professional experience is required to apply to 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
- Full Professional Proficiency in English language.
- Being a resident in United Kingdom for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in United Kingdom.
- Ability to follow guidelines and conduct online research using search engines, online maps, and website information.
- Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance.
- Daily access to a broadband internet connection, computer, and relevant software.
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.
Benefits
- Earn extra income working remotely from the comfort of your own home.
- Have the freedom to choose your own working hours to suit your own lifestyle.
- Be a part of a community and access our well-being initiatives.
- Contribute to the development of the AI ecosystem.
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.
Remote: Online Data Analyst - English speaker in UK employer: TELUS Digital
TELUS Digital AI offers a unique opportunity for Online Data Analysts to work flexibly from home while contributing to impactful projects that enhance digital mapping for global brands. With a strong emphasis on community, well-being initiatives, and equal opportunities, employees can enjoy a supportive work culture that fosters personal growth and professional development in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Remote: Online Data Analyst - English speaker in UK
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TELUS Digital!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote: Online Data Analyst - English speaker in UK at TELUS Digital.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TELUS Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Remote: Online Data Analyst - English speaker in UK at TELUS Digital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Remote: Online Data Analyst - English speaker in UK
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TELUS Digital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TELUS Digital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TELUS Digital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TELUS Digital!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
