Data and Analytics Consultant, NYHQ, GPD-Partnership for a Lead Free Future, 11.5 months (Remote/Work from home) #593924

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 a future

How can you make a difference?  

The Partnership for Lead-Free Futures (PLF) requires strengthened data collection and analysis to support:

• Strategic resource mobilization and coordination,
• Improved visibility of country-level activities and financing flows, and
• Annual reporting on progress against the PLF framework and indicators.

To meet these needs, PLF seeks a Data & Analytics Consultant to provide technical support for targeted data collection, data management, analysis, and reporting-related analytics, ensuring timely, high-quality datasets and analytical products that inform decision making, advocacy, accountability, and Secretariat-led reporting processes.

The objective of this consultancy is to design and implement a streamlined and fit-for-purpose data cycle that:

• Maps PLF-relevant country projects and financial flows;
• Produces periodic, decision-ready analytical products to support coordination and resource mobilization efforts;
• Provides technical support to the PLF Annual Report process through indicator tracking, data collection and validation, analysis, visualizations, and the compilation of reporting inputs for Secretariat-led reporting products.

If you would like to know more about this position, please review the Terms of Reference here:   ToR Data and Analytics Consultant TMS.pdf

To qualify as an advocate for every child you will have:

Minimum requirements:

Education: Bachelor's Degree in Data Analytics, Statistics, Data Science, Economics, Public Health, Development Studies, Information/Data Management, Monitory and Evaluation.

Work Experience:

• At least 5 years of progressively responsible professional experience in data management, monitoring and evaluation, research, analytics, knowledge management, or related fields within global health, environmental health, international development, or humanitarian contexts.
• Demonstrated experience supporting multi-country programmes, partnerships, or initiatives in global health, environmental health, international development, humanitarian, or related sectors.
• Proven experience managing large and complex datasets and producing high-quality analytical outputs, reports, and evidence products for decision-making.
• Experience designing and implementing data collection methodologies, tools, templates, surveys, and reporting systems.
• Experience coordinating partner reporting processes and ensuring data quality, consistency, and completeness across multiple countries or organizations.
• Demonstrated experience translating complex quantitative and qualitative data into clear, actionable insights, visualizations, dashboards, and analytical products for technical and non-technical audiences.
• Experience delivery consultancy assignments or technical support services within agreed timeline and quality standards.

Knowledge/Expertise/Skills:

• Strong experience in multi country data collection, analysis, and synthesis in global health, environmental health, or development contexts.
• Experience working with multi‑country datasets and partner reporting processes.
• Ability to translate complex data into clear, decision‑ready analytical products, including simple visuals.
• Strong database management skills, including experience in organizing, cleaning, valid