Remote Data & Maps Research Analyst

Remote Data & Maps Research Analyst

Full-Time 13 - 16 £ / hour (est.) Remote
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At a Glance

  • Tasks: Enhance digital map content and quality from the comfort of your home.
  • Company: Global digital services provider with a focus on innovation.
  • Benefits: Flexible part-time hours, work remotely, and gain valuable experience.
  • Other info: No previous experience needed; perfect for students or recent graduates.
  • Why this job: Join a dynamic team and make a real impact in the digital world.
  • Qualifications: Full professional proficiency in Bengali and English; UK residency required.

The predicted salary is between 13 - 16 £ per hour.

A global digital services provider is seeking an Online Data Analyst to enhance digital map content and quality from your own home. This part-time freelance position requires full professional proficiency in Bengali and English, familiarity with UK affairs, and no previous experience is necessary. Candidates must reside in the UK for the last two years and possess reliable internet access. Join a dynamic team making an impact and embark on a meaningful freelance journey.

Remote Data & Maps Research Analyst 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.

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Contact Details:

TELUS Digital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Data & Maps Research Analyst

✨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!

✨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 Remote Data & Maps Research Analyst at TELUS Digital.

✨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.

✨Apply Directly through Our Website

When you find a suitable opening like Remote Data & Maps Research Analyst at TELUS Digital, 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 Remote Data & Maps Research Analyst

Full Professional Proficiency in Bengali
Full Professional Proficiency in English
Familiarity with UK Affairs
Reliable Internet Access
Analytical Skills
Attention to Detail
Remote Work Capability

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, 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. 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

✨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!

✨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.