MNCAH Data Engineering Consultant, UNICEF Office of Strategy and Evidence - Integrated Health Data Analytics Unit, Data and Analytics Section, Florence, Italy, 14 months (remote) #596115
Organizational Context
UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential. 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.
Job Purpose
This assignment aims to strengthen UNICEF’s MNCAH (Maternal, Newborn, and Child Health) data and analytics systems by maintaining and expanding the global MNCAH database, improving data workflows, and supporting global reporting and SDG monitoring. The consultant will develop data pipelines, dashboards, and analytics products. They will provide technical support to country offices and ministries of health, thereby strengthening the use of health data for programme planning and decision-making. This role is crucial for enhancing the evidence base for interventions aimed at improving maternal, newborn, and child health outcomes globally, aligning with UNICEF's strategic objectives.
Responsibilities
Maintain and expand the global MNCAH database, ensuring data integrity and accessibility. Develop and implement robust data pipelines for efficient data ingestion, transformation, and loading. Design and build automated reporting tools and dashboards using R to visualize key MNCAH indicators and trends. Provide technical assistance and capacity building to country offices and ministries of health on data management, analysis, and utilization. Support global reporting requirements and Sustainable Development Goal (SDG) monitoring related to MNCAH. Analyze complex health datasets to identify patterns, insights, and areas for programmatic improvement. Collaborate with internal and external stakeholders to ensure data-driven decision-making. Document data processes, methodologies, and analytical findings. Contribute to the development of data strategies and best practices within the Integrated Health Data Analytics Unit. Ensure compliance with data privacy and security standards. Troubleshoot and resolve data-related issues promptly. Stay updated on emerging trends and technologies in data engineering and health analytics.
Work Experience
A minimum of 5 years of progressively responsible professional experience in data science, data engineering, or health data analytics. Proven experience applying advanced data techniques to public health or development contexts. Experience supporting decision-makers in the use of data for decision-making, particularly in low- and middle-income countries. Familiarity with global health indicator frameworks related to maternal, newborn, and child health.
Skills
Data pipeline design and maintenance, Automated reporting tools, R programming, Handling large, complex datasets, Routine health information systems, Data visualization, Advanced statistical methods, Public health data analysis, Development context data application, Data-driven decision support, Global health indicators, MNCAH data analysis