Online Data Analyst - ENGLISH SPEAKER in London

Online Data Analyst - ENGLISH SPEAKER in London

London Full-Time 24000 - 36000 £ / year (est.) No working from home possible
TELUS Digital AI Data Solutions

At a Glance

  • Tasks: Enhance digital maps by verifying data and ensuring accuracy in a web-based environment.
  • Company: Join TELUS Digital AI, a vibrant community of over 1 million contributors.
  • Benefits: Flexible part-time work with opportunities for growth and skill development.
  • Other info: Diverse and inclusive team committed to equal opportunities.
  • Why this job: Make a real impact on global AI models while working from home.
  • Qualifications: No prior experience needed; just a passion for research and English proficiency.

The predicted salary is between 24000 - 36000 £ per year.

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. 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.

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.

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.

Online Data Analyst - ENGLISH SPEAKER in London employer: TELUS Digital AI Data Solutions

At TELUS Digital AI, we pride ourselves on being an excellent employer, offering a flexible and inclusive work culture that values diversity and innovation. As part of our global AI Community, you will have the opportunity to contribute to meaningful projects that enhance digital maps used by millions, while also benefiting from ongoing training and development opportunities. Join us in the UK and be part of a dynamic team that supports your growth and empowers you to make a real impact in the world of AI.

TELUS Digital AI Data Solutions

Contact Details:

TELUS Digital AI Data Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Online Data Analyst - ENGLISH SPEAKER in London

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 AI Data Solutions!

Show Off Your Projects

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 Online Data Analyst - ENGLISH SPEAKER at TELUS Digital AI Data Solutions.

Leverage Professional Networks

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 AI Data Solutions.

Apply Directly through Our Website

When you find a suitable opening like Online Data Analyst - ENGLISH SPEAKER at TELUS Digital AI Data Solutions, 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 Online Data Analyst - ENGLISH SPEAKER in London

Full Professional Proficiency in English
Research Skills
Data Verification
Attention to Detail
Familiarity with Current Affairs in the UK
Ability to Follow Guidelines
Flexibility in Task Types

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 AI Data Solutions, 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 AI Data Solutions. 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 AI Data Solutions

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 AI Data Solutions!

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.