Map Data Analyst (Punjabi, UK) – Part-Time & Impact in Leeds

Map Data Analyst (Punjabi, UK) – Part-Time & Impact in Leeds

Leeds Part-Time 13 - 16 £ / hour (est.) Hybrid
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At a Glance

  • Tasks: Analyse and verify data to enhance global digital maps.
  • Company: Leading digital services company with a focus on innovation.
  • Benefits: Flexible hours, part-time role, and the chance to make a global impact.
  • Other info: Ideal for students seeking flexible work with meaningful outcomes.
  • Why this job: Join a dynamic team and contribute to improving digital navigation worldwide.
  • Qualifications: Proficiency in Punjabi and English, with knowledge of UK culture.

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

A leading digital services company in the UK is seeking an Online Data Analyst for a part-time project aimed at improving digital maps used globally. The ideal candidate should have proficiency in Punjabi and English and be familiar with UK cultural affairs.

This role includes:

  • Completing research tasks
  • Verifying data
  • Providing insights

All while being part of a dynamic team making a global impact. Flexibility in task types and a stable internet connection are essential for success in this position.

Map Data Analyst (Punjabi, UK) – Part-Time & Impact in Leeds 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 Map Data Analyst (Punjabi, UK) – Part-Time & Impact in Leeds

✨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 Map Data Analyst (Punjabi, UK) – Part-Time & Impact in Leeds

Data Analysis
Research Skills
Attention to Detail
Proficiency in Punjabi
Proficiency in English
Cultural Awareness of UK
Communication Skills

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.