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- Tasks: Conduct research and evaluation to enhance digital map content from the comfort of your home.
- Company: Join a global tech company with a vibrant AI community.
- Benefits: Flexible part-time hours and the chance to work remotely.
- Why this job: Make a real impact on digital mapping while working in a dynamic environment.
- Qualifications: Fluency in Punjabi and English, plus knowledge of UK culture.
- Other info: Perfect for students seeking freelance opportunities and valuable experience.
The predicted salary is between 13 - 16 £ per hour.
A global technology company is seeking an Online Data Analyst for a part-time, freelance opportunity that allows you to work from home. You will engage in research and evaluation tasks aimed at improving digital map content.
Full proficiency in Punjabi and English is required, along with familiarity with UK business and cultural affairs.
Join a vibrant AI community and contribute to meaningful projects. Interested candidates should apply via the provided email address for further processing.
Remote Punjabi (UK) Data Analyst for Maps in Wolverhampton employer: TELUS Digital
Contact Detail:
TELUS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Punjabi (UK) Data Analyst for Maps in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online groups, and don’t be shy about asking for advice or insights. You never know who might have a lead on that perfect remote data analyst gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to maps or digital content. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, as communication is key in remote roles. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Remote Punjabi (UK) Data Analyst for Maps in Wolverhampton
Some tips for your application 🫡
Show Off Your Language Skills: Make sure to highlight your proficiency in both Punjabi and English. We want to see how you can communicate effectively in both languages, so don’t hold back on showcasing your skills!
Know Your Stuff About the UK: Familiarity with UK business and cultural affairs is key for this role. We recommend mentioning any relevant experiences or insights you have about the UK that could help us understand your fit for the position.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to the specific role. Make sure to connect your past experiences to the tasks you'll be doing as an Online Data Analyst.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at TELUS Digital
✨Brush Up on Your Language Skills
Since full proficiency in Punjabi and English is a must, make sure you’re comfortable switching between the two languages. Practise common phrases and technical terms related to data analysis to show your fluency during the interview.
✨Know Your Maps
Familiarise yourself with digital mapping tools and platforms. Research how they work and be ready to discuss any relevant experience you have. This will demonstrate your understanding of the role and your enthusiasm for improving map content.
✨Stay Updated on UK Affairs
Being aware of current UK business and cultural affairs is crucial. Read up on recent news and trends that could impact digital mapping. This knowledge will help you answer questions more effectively and show that you’re engaged with the local context.
✨Show Your Analytical Skills
Prepare to discuss your previous data analysis experiences. Think of specific examples where you’ve used data to solve problems or improve processes. Highlighting your analytical skills will reassure the interviewer that you can handle the tasks required for this role.
