Individual Consultancy- Digital Data Analyst,and AI Data Services, 18 Months, Remote
Pubblicato il 02-10-2026 - UNICEF Careers in Campo di Ne
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.
Visit our website to learn more about what we do at UNICEF.
For every child, the right to Future
How can you make a difference?
The Digital Data Analyst and AI Data Services consultant is expected to provide technical analytics expertise, develop defined data and AI products, and enable selected markets in the Central 1 (C1)
region to apply these solutions independently. Key responsibilities and main tasks include the following:
- Google Analytics 4 360
- LTV Analytics and Channel Performance
- Digital Data and Attribution
- AI Agent Configuration
- Market Enablement and Analytics Support for Digital Fundraising
If you would like to know more about this consultancy, please review the complete Terms of Reference here: ToR Digital Data Analyst.pdf
To qualify as an advocate for every child you will have…
Minimum requirements:
- Education: Bachelor's degree in Computer Science, Statistics, Mathematics, IT, or any other related field
- Work Experience: years of progressively responsible professional work experience in data and analytics
- Skills:
- Experience in cloud technologies, in particular Google BigQuery is required.
- Strong SQL knowledge and experience working with relational and non-relational databases is required.
- Strong communication