At a Glance
- Tasks: Enhance and verify digital map data for AI models from the comfort of your home.
- Company: Join a leading digital services company in the UK with a focus on innovation.
- Benefits: Enjoy a flexible work schedule and the opportunity to work part-time.
- Why this job: Make a real impact on AI technology while working remotely.
- Qualifications: Proficiency in Bengali and English, plus online research skills.
- Other info: Ideal for students seeking valuable experience in a dynamic field.
The predicted salary is between 13 - 16 £ per hour.
A leading digital services company in the UK seeks a part-time Online Data Analyst to enhance and verify digital map data for AI models. This remote position requires full proficiency in Bengali and English, as well as residency in the UK for the past two years.
Candidates must have the ability to follow guidelines and conduct research online. This role offers a flexible work schedule and involves various tasks including data assessment, with a focus on quality improvement in digital mapping.
Remote Bengali Data Analyst – Maps & AI Quality in Leeds employer: TELUS Digital
Contact Detail:
TELUS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Bengali Data Analyst – Maps & AI Quality in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for virtual interviews by practising common questions and showcasing your skills. Make sure you can explain how your experience aligns with the role of a Data Analyst, especially in terms of quality improvement.
✨Tip Number 3
Showcase your passion for data! When you get the chance to chat with potential employers, share your enthusiasm for digital mapping and AI. Let them see that you’re not just looking for any job, but this specific one.
✨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 connect with us directly.
We think you need these skills to ace Remote Bengali Data Analyst – Maps & AI Quality in Leeds
Some tips for your application 🫡
Show Off Your Language Skills: Since this role requires full proficiency in both Bengali and English, make sure to highlight your language skills in your application. We want to see how you can communicate effectively in both languages!
Follow the Guidelines: Pay close attention to the application guidelines provided in the job description. We appreciate candidates who can follow instructions carefully, so make sure your application reflects that!
Research is Key: Demonstrate your ability to conduct online research by including examples of how you've done this in the past. We love seeing candidates who can dig deep and find the information they need!
Apply Through Our Website: To make sure your application gets to us quickly, apply directly through our website. It’s the easiest way for us to review your application and get back to you!
How to prepare for a job interview at TELUS Digital
✨Know Your Data
Make sure you brush up on your data analysis skills and understand the tools commonly used in the industry. Familiarise yourself with digital mapping concepts and AI models, as this will show your potential employer that you're serious about the role.
✨Language Proficiency Matters
Since the job requires full proficiency in both Bengali and English, be prepared to demonstrate your language skills during the interview. Practice explaining complex data concepts in both languages to showcase your fluency and versatility.
✨Research the Company
Take some time to learn about the company’s mission and values. Understanding their approach to digital services and how they utilise data for AI will help you align your answers with what they’re looking for, making you a more appealing candidate.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities and how you handle data quality issues. Think of examples from your past experiences where you followed guidelines and improved data quality, as these will illustrate your capability to excel in the role.