Online Data Analyst - English (UK) in Cardiff

Online Data Analyst - English (UK) in Cardiff

Cardiff Part-Time 12 - 15 £ / hour (est.) Working from home possible
TELUS Digital

At a Glance

  • Tasks: Enhance digital maps by verifying and comparing data in a web-based environment.
  • Company: Join TELUS Digital AI, a vibrant community of 1 million+ contributors.
  • Benefits: Flexible part-time hours, work from home, and contribute to global AI projects.
  • Other info: Diverse and inclusive team with opportunities for growth and learning.
  • Why this job: Make a real impact on digital content used by millions worldwide.
  • Qualifications: No prior experience needed; just a passion for research and accuracy.

The predicted salary is between 12 - 15 £ per hour.

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
  • Resident in the United Kingdom for the last 5 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the 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 (UK) in Cardiff employer: TELUS Digital

TELUS Digital is an exceptional employer that champions a diverse and inclusive workplace, making it an ideal environment for professionals passionate about AI and robotics. With a strong focus on employee growth, TELUS offers numerous opportunities for career advancement and skill development, all while working remotely in the UK. The company's commitment to quality and innovation ensures that you will be part of meaningful projects that shape the future of technology.

TELUS Digital

Contact Details:

TELUS Digital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Online Data Analyst - English (UK) in Cardiff

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like TELUS Digital.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at TELUS Digital and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Online Data Analyst - English (UK) in Cardiff

Python
SQL
Communication Skills
Problem-Solving Skills
Attention to Detail
Automation
Data Engineering

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at TELUS Digital aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at TELUS Digital

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with TELUS Digital.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to TELUS Digital.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at TELUS Digital, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at TELUS Digital will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.