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- Tasks: Enhance data science platforms by onboarding, cleaning, and analysing datasets using Python.
- Company: International children's organisation committed to diversity and inclusion.
- Benefits: Remote work opportunity with a focus on professional growth.
- Why this job: Make a difference in children's education through impactful data analytics.
- Qualifications: Degree in a related field and at least one year of data science experience.
- Other info: Short-term contract with potential for valuable experience in the education sector.
The predicted salary is between 30000 - 40000 £ per year.
An international children's organization seeks a Consultant in Data and Analytics to enhance their data science platform. This role involves onboarding datasets, cleaning and analyzing data using Python, and developing visualizations with tools like PowerBI.
The ideal candidate will have a degree in a related field and at least one year of experience in data science, preferably in the education sector. This consultancy offers a remote working opportunity for a limited duration, promoting a diverse and inclusive workforce.
Remote Data & Analytics Consultant (3-Month Contract) employer: UNICEF
Contact Detail:
UNICEF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data & Analytics Consultant (3-Month Contract)
✨Tip Number 1
Network like a pro! Reach out to people in the education sector or data science community. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data cleaning and visualisation projects. Use platforms like GitHub to share your work and impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios. Practice explaining your thought process when analysing datasets, as this will show your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Data & Analytics Consultant (3-Month Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially any work related to education. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and analytics, and how you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role involves Python and PowerBI, make sure to mention your proficiency with these tools. If you’ve got any cool projects or visualisations, include them in your application to give us a taste of your work!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at UNICEF
✨Know Your Data Tools
Make sure you’re well-versed in Python and PowerBI. Brush up on your skills and be ready to discuss specific projects where you've used these tools. It’s a great way to show your practical experience and how you can contribute to their data science platform.
✨Showcase Your Analytical Skills
Prepare to talk about your approach to cleaning and analysing datasets. Have examples ready that demonstrate your problem-solving abilities and how you’ve tackled challenges in previous roles, especially in the education sector.
✨Understand Their Mission
Research the international children's organisation and understand their goals. Be prepared to discuss how your work in data and analytics can support their mission. This shows genuine interest and alignment with their values.
✨Ask Insightful Questions
Prepare thoughtful questions about the consultancy role and the team dynamics. Inquire about their current data challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.