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- Tasks: Enhance digital maps and verify data accuracy from the comfort of your home.
- Company: Leading digital solutions company with a focus on innovation.
- Benefits: Flexible part-time hours, work from home, and gain valuable experience.
- Why this job: Perfect for detail-oriented individuals who love research and want to make an impact.
- Qualifications: Full proficiency in English and UK residency for the last two years.
- Other info: Candidates must pass a qualification exam to join the project.
The predicted salary is between 13 - 16 £ per hour.
A leading digital solutions company is seeking an Online Data Analyst for a part-time freelance role. This position involves enhancing digital maps and verifying data accuracy from your home.
Full proficiency in English and residency in the UK for the last two years are required. Candidates will need to pass a qualification exam to join the project.
This is a flexible role suitable for detail-oriented individuals passionate about research.
Remote Data Analyst – Map Research & Verification in Sutton employer: TELUS Digital
Contact Detail:
TELUS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Analyst – Map Research & Verification in Sutton
✨Tip Number 1
Make sure your online presence is on point! Update your LinkedIn profile and any relevant social media to reflect your skills as a Data Analyst. We want to see your passion for research and attention to detail shining through!
✨Tip Number 2
Network like a pro! Reach out to fellow data enthusiasts or join online communities related to digital mapping. We can help you find connections that might lead to opportunities, so don’t hesitate to engage with us!
✨Tip Number 3
Prepare for that qualification exam! Brush up on your data verification skills and familiarise yourself with digital mapping tools. We believe in you, and being well-prepared will definitely give you an edge!
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. We’re here to support you every step of the way, so let’s get you that remote Data Analyst gig!
We think you need these skills to ace Remote Data Analyst – Map Research & Verification in Sutton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description. We want to see how your background fits with the role of a Data Analyst, so don’t hold back on showcasing your research and verification skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing digital maps and how your attention to detail makes you a perfect fit for this role. We love seeing genuine enthusiasm!
Showcase Your English Proficiency: Since full proficiency in English is a must, make sure your application is clear and well-written. We appreciate good communication skills, so double-check for any typos or grammatical errors before hitting send!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at TELUS Digital
✨Know Your Data
Before the interview, brush up on your data analysis skills and be ready to discuss specific tools or software you’ve used. Familiarise yourself with common data verification techniques, as this role heavily relies on accuracy.
✨Show Your Research Passion
Since this position is all about enhancing digital maps, demonstrate your enthusiasm for research. Bring examples of past projects where you’ve conducted thorough research or improved data quality, and be prepared to explain your process.
✨Prepare for the Qualification Exam
Understand that passing the qualification exam is crucial. Review any relevant materials or practice tests that might help you prepare. This shows your commitment and readiness to take on the responsibilities of the role.
✨Highlight Your Attention to Detail
As a detail-oriented position, be ready to provide examples of how your attention to detail has positively impacted your previous work. Discuss specific instances where your meticulousness led to successful outcomes in data analysis or verification.
