Title: Long-Term Agreement (LTA) for Engagement of Individual Consultants as Data Processing and Analysis

Duty Station: Remote-based

Duration of LTA: Two years with the possibility of extension for one more year (max. 3 years)

About UNICEF

If you are a committed, creative professional and are passionate about making a lasting difference for children, the world's leading children's rights organization would like to hear from you. For 70 years, UNICEF has been working on the ground in 190 countries and territories to promote children's survival, protection and development. The world's largest provider of vaccines for developing countries, UNICEF supports child health and nutrition, good water and sanitation, quality basic education for all boys and girls, and the protection of children from violence, exploitation, and AIDS. UNICEF is funded entirely by the voluntary contributions of individuals, businesses, foundations and governments. UNICEF has over 12,000 staff in more than 145 countries.

BACKGROUND/RATIONALE

UNICEF’s work in the area of data analysis highlights trends and emphasizes patterns found within the data and suggests how these data can be used strategically to inform evidence-based policy and programmatic efforts. The results of UNICEF’s data analysis work appear in its flagship publications as well as data-driven thematic reports, articles, brochures, documents and other dissemination materials.

Toward this end, the Child Protection and Development Unit (CPD) within the Data and Analytics Section produces data and knowledge products on key thematic issues pertaining to child protection, early childhood development (ECD), children with disabilities and adolescents. 

There is an ongoing requirement for the production of high-quality data packages that include data processing, tabulating findings, assessing data quality, and trends on various thematic topics covered by the CPD data team. The primary source of this data will be household surveys such as MICS and DHS, but there may, on occasion, other types of data sources requiring data processing and/or analysis such as censuses. The end products will be disseminated through various channels, including the data warehouse, data.unicef.org, and data-driven publications.

Selected consultants will be eligible for a long-term agreement contract to provide on-demand technical data processing and analysis support to the Child Protection and Development (CPD) team.

PURPOSE OF ASSIGNMENT

To meet these requirements, UNICEF HQ would like to engage the services of consultants to enable the child protection and development (CPD) team to diversify and scale up support on SDG and UNICEF Strategic Planning (SP) monitoring and CPD data analysis.

PROGRAMME AREA AND SPECIFIC PROJECT AREA

Data processing and analysis in the area of child protection (which includes topics such as birth registration, violence, child labour, harmful traditional practices and children outside of family care), ECD, children with disabilities, adolescents and other cross-sectoral topics in connection to CPD, including education, health, multi-dimensional poverty, WASH, etc.

OBJECTIVE(S)

The overall objective is to set up a Long-Term Agreement to facilitate and expedite the process by which the UNICEF HQ CPD team will hire data processing analysts as required for specific projects to develop these high-quality analysis packages.

MAJOR TASKS TO BE ACCOMPLISHED

Selected applicants will be deployed as needed to provide technical support depending on their expertise and experience in the following tasks include, but may not be limited to:

1. Develop or adapt automated analytical tools on the CPD thematic area to process, tabulate, analyze, compile and visualize data using primary datasets and publish findings in various customized layouts, structures, and formats, including MS Excel, CSV, PowerPoint, PDF, and others.
2. Execute on-demand inferential analyses that may include appropriate regressions and other analyses.
3. Be available to support the preparation of draft analysis plans, including suggesting indicators, variables, types of statistical analyses, etc., as needed.
4. Execute on-demand descriptive analysis, calculate customized indicators, and include geospatial or socio-economic and demographic stratifiers, associated confidence intervals, significance tests, etc.
5. Perform underlying data quality assurance by ensuring the customized estimates align with their trends and evaluating research methodology and sampling properties as needed. Fact-check calculated estimates against the published reports. Review, edit, and consol