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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 employer: UNICEF
Contact Detail:
UNICEF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data & Analytics Consultant
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can’t stress enough how valuable connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data cleaning and visualisation projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote Data & Analytics Consultant
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!
Showcase Your Technical Skills: Since this role involves data cleaning and visualisation, mention any tools or programming languages you’re proficient in. We’re keen to know how you can help us develop our data science platform!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 your experience with onboarding datasets, cleaning data, and creating visualisations. Having specific examples from your past work will show that you know your stuff!
✨Showcase Your Remote Work Skills
Since this is a remote position, highlight your ability to work independently and manage your time effectively. Share any tools or strategies you use to stay organised and communicate with team members, as this will demonstrate your readiness for remote collaboration.
✨Emphasise Diversity and Inclusion
This organisation values diversity and inclusion, so be prepared to discuss how you can contribute to a positive workplace culture. Share experiences where you've worked in diverse teams or supported inclusive practices in your previous roles.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare thoughtful questions about the data science platform you'll be working on and the team's goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.