Data and Analytics Consultant, EOF, London, Remote. Req#591879
Data and Analytics Consultant, EOF, London, Remote. Req#591879

Data and Analytics Consultant, EOF, London, Remote. Req#591879

Full-Time 40000 - 50000 £ / year (est.) No home office possible
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UNICEF

At a Glance

  • Tasks: Support UNICEF's data science platform by managing and analysing extensive datasets.
  • Company: Join UNICEF, a global leader in child rights and development.
  • Benefits: Remote work, competitive pay, and opportunities for personal growth.
  • Why this job: Make a real difference in children's lives while developing your data skills.
  • Qualifications: Degree in data science or related field; experience with data tools required.
  • Other info: Diverse and inclusive culture with a commitment to professional development.

The predicted salary is between 40000 - 50000 £ per year.

Contract Duration: 3 months

Working arrangement: Home based / Remote

UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence. At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling. UNICEF is a place where careers are built. We offer our staff diverse opportunities for professional and personal development that will help them reinforce a sense of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture, coupled with an attractive compensation and benefits package.

Terms of Reference

EOF wants to recruit a Consultant (Data and Analytics) to support the development of EOF’s data science platform. This gives the opportunity to utilize some new extensive datasets and advanced machine learning and Artificial Intelligence (AI) libraries.

Scope of Work

  • Data Management
    • Onboarding and structuring datasets into Azure platform.
    • Sourcing interesting data and onboarding into data environment.
    • Permission and data system maintenance.
  • Data Analytics
    • Cleaning and analyzing data; primarily using Python.
    • Assisting with advance analytics using Databricks & machine learning libraries.
    • Assisting in iteration of modelling and coding infrastructure.
  • Visualisations
    • Assisting in the development of visualizations.
    • Sourcing and trialling of third-party visualisation software.
    • Working with wider EOF team to refine visualizations.

If you would like to know more about this consultancy, please review the complete Terms of Reference.

Education

Minimum requirements: A degree in data science, analytics, statistics, economics, applied mathematics, finance, or a related field, is required. A Masters degree in a relevant subject is preferred but not required.

Work Experience

A minimum of 1 year of relevant professional experience in data science, computer science, finance, statistics, economics, business, or a related field, is required. Proven experience with data science through projects or working experience. Proven experience with relevant tools such as PowerBI, MapBox, DataBricks. Proven experience working in the education sector, preferably in a development context. Proven experience with outcomes-based financing or innovative finance models is highly desirable.

For Every Child

UNICEF’s Core Values of Care, Respect, Integrity, Trust and Accountability and Sustainability (CRITAS) underpin everything we do and how we do it. UNICEF promotes and advocates for the protection of the rights of every child, everywhere, in everything it does and is mandated to support the realization of the rights of every child, including those most disadvantaged, and our global workforce must reflect the diversity of those children. The UNICEF family is committed to include everyone, irrespective of their race/ethnicity, disability, gender identity, sexual orientation, religion, nationality, socio-economic background, minority, or any other status. UNICEF encourages applications from all qualified candidates, regardless of gender, nationality, religious or ethnic backgrounds, and from people with disabilities, including neurodivergence. We offer reasonable accommodation for persons with disabilities throughout the recruitment process. If you require any accommodation, please submit your request through the accessibility email button on the UNICEF Careers webpage.

Should you be shortlisted, please get in touch with the recruiter directly to share further details, enabling us to make the necessary arrangements in advance. UNICEF does not hire candidates who are married to children (persons under 18). UNICEF has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UNICEF, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities. UNICEF is committed to promote the protection and safeguarding of all children. All selected candidates will, therefore, undergo rigorous reference and background checks, and will be expected to adhere to these standards and principles. Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check, and selected candidates with disabilities may be requested to submit supporting documentation in relation to their disability confidentially.

Application Documents

  • An up-to-date TMS profile and curriculum vitae (CV)
  • Cover letter
  • A separate financial proposal

Remarks: UNICEF does not charge a processing fee at any stage of its recruitment, selection, and hiring processes. UNICEF will not ask for applicants’ bank account information. All UNICEF positions are advertised, and only shortlisted candidates will be contacted and advance to the next stage of the selection process.

Data and Analytics Consultant, EOF, London, Remote. Req#591879 employer: UNICEF

UNICEF is an exceptional employer that offers a unique opportunity to contribute to meaningful work aimed at improving the lives of children globally. With a strong commitment to professional development, a diverse and inclusive work culture, and an attractive benefits package, employees are empowered to grow both personally and professionally while making a significant impact in their communities. Working remotely from London, you will be part of a passionate team dedicated to promoting children's rights and well-being.
UNICEF

Contact Detail:

UNICEF Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data and Analytics Consultant, EOF, London, Remote. Req#591879

✨Tip Number 1

Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the hunt for a Data and Analytics Consultant role at UNICEF. You never know who might have an inside scoop or can put in a good word for you!

✨Tip Number 2

Prepare for those interviews! Research common questions for data science roles and practice your answers. Make sure you can talk about your experience with Python, Azure, and any relevant tools like PowerBI or Databricks. Confidence is key!

✨Tip Number 3

Show off your skills! If you have any projects or portfolios showcasing your data analytics work, make sure to highlight them during your conversations. Visuals can really help demonstrate your capabilities and make you stand out.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in working with UNICEF. Don’t forget to tailor your CV and cover letter to reflect the values and mission of UNICEF!

We think you need these skills to ace Data and Analytics Consultant, EOF, London, Remote. Req#591879

Data Management
Data Analytics
Python
Machine Learning
Databricks
Data Visualisation
PowerBI
MapBox
Data Cleaning
Dataset Structuring
Analytical Skills
Problem-Solving Skills
Communication Skills
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data and Analytics Consultant role. Highlight relevant experience, especially with data science and analytics tools like Python and Databricks. We want to see how your skills align with what UNICEF is looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data and how it can impact children's lives. Share specific examples of your work that relate to the job description, and don’t forget to mention why you want to work with UNICEF.

Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills, especially in data management and visualisation.

Apply Through Our Website: We encourage you to apply through our official website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the necessary documents and details about the role there!

How to prepare for a job interview at UNICEF

✨Know Your Data Tools

Make sure you’re familiar with the tools mentioned in the job description, like Python, PowerBI, and Databricks. Brush up on your skills and be ready to discuss specific projects where you've used these tools effectively.

✨Show Your Passion for UNICEF's Mission

UNICEF is all about making a difference for children worldwide. Be prepared to share why you’re passionate about their mission and how your background in data science can contribute to their goals. This will show that you’re not just looking for a job, but a calling.

✨Prepare for Technical Questions

Expect technical questions related to data management and analytics. Practice explaining your thought process when cleaning data or creating visualisations. Being able to articulate your approach will demonstrate your expertise and problem-solving skills.

✨Ask Insightful Questions

At the end of the interview, have a few thoughtful questions ready. Ask about the team dynamics, the types of datasets you'll be working with, or how success is measured in this role. This shows your genuine interest and helps you assess if the role is right for you.

Data and Analytics Consultant, EOF, London, Remote. Req#591879
UNICEF
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