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- Tasks: Support the development of a data science platform and assist in data visualisations.
- Company: Global non-profit organisation committed to diversity and inclusion.
- Benefits: Remote work, flexible hours, and a chance to make a difference.
- Why this job: Join a mission-driven team and enhance your data skills while working remotely.
- Qualifications: Degree in data science or related field with at least one year of experience.
- Other info: Opportunity to work in a dynamic and inclusive environment.
The predicted salary is between 30000 - 40000 £ per year.
A global non-profit organization is seeking a Consultant (Data and Analytics) who will support the development of a data science platform. This role requires a degree in data science or a related field and at least one year of relevant experience.
Responsibilities include:
- Onboarding datasets
- Cleaning data
- Assisting in data visualizations
The position offers a remote working arrangement and promotes a diverse and inclusive workplace.
Remote Data & Analytics Consultant in London employer: UNICEF
Contact Detail:
UNICEF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data & Analytics Consultant in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that Consultant role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data cleaning and visualisation projects. We want to see what you can do, so make it easy for potential employers to see your expertise.
✨Tip Number 3
Prepare for those interviews! Research common questions for data and analytics roles and practice your responses. We can help you feel confident and ready to impress with your knowledge and experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. We’re all about making the process smooth and straightforward, so don’t miss out on that opportunity!
We think you need these skills to ace Remote Data & Analytics Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and analytics. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role involves data onboarding and visualisation, make sure to mention any specific tools or programming languages you’re proficient in. We’re keen to know how you can help us build our data science platform!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at UNICEF
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals. Be ready to discuss concepts like data cleaning, dataset onboarding, and visualisation techniques. This will show that you have the technical knowledge needed for the role.
✨Showcase Your Experience
Prepare specific examples from your past work where you've successfully handled data projects. Highlight your experience with data cleaning and visualisation, as these are key responsibilities in the job description. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Familiarise Yourself with the Organisation
Research the global non-profit organisation and understand their mission and values. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their cause.
✨Emphasise Inclusivity and Diversity
Since the position promotes a diverse and inclusive workplace, be prepared to discuss how you can contribute to this environment. Share any experiences you have working in diverse teams or how you’ve supported inclusivity in your previous roles.