Associate Data Specialist
Organizational Context
The UN Resident Coordinator Offices (UN RCO), under the UN Secretariat's Development Operations Coordination Office (DCO), support countries in achieving development priorities and SDGs. This role is within the UN RCO in Hanoi, Vietnam, reporting to the Head of the RCO, and contributes to the UN 2.0 shift focused on data, digital, and innovation.
Job Purpose
This role supports the UN Resident Coordinator Office (RCO) in Hanoi, Vietnam, by developing and implementing databases, data collection systems, and analytics to optimize statistical efficiency and quality. It contributes to identifying trends, improving data processes, and developing monitoring and evaluation products for UN Sustainable Development Cooperation Frameworks. The position also aids in creating reports, dashboards, and visualizations to summarize findings, track progress, and support data-driven decision-making and communication with stakeholders, aligning with the UN 2.0 strategic shift.
Responsibilities
Implement and maintain databases, data collection systems, and analytics to enhance statistical efficiency and quality. Analyze and interpret data trends using statistical methods, identifying key features and variables. Acquire, clean, and manage data from various sources, implementing process improvements for data analytics tasks. Develop monitoring, evaluation, and learning (MEL) products for UN Sustainable Development Cooperation Frameworks. Contribute to co-designing digital tools and dashboards for tracking SDG progress. Create reports, dashboards, and visualizations to communicate findings and support management decisions. Assist in building statistical capacity for UNCT and national partners through training and 'data clinics', focusing on areas like gender-responsive statistics and new methodologies. Support data preparation, verification, and routine reporting, and contribute to integrating data into common pipelines.
Work Experience
A minimum of two years of progressive experience in data science and analytics, including statistics and predictive modeling, is required. Experience in data quality assurance, data validation, data storytelling, and using visualization tools (e.g., Tableau, Power BI, R) is desirable.
Skills
Professionalism (strategic/critical thinking, project management, collaboration), Communication (clear and effective speaking/writing, active listening), Technological Awareness (understanding and applying technology, willingness to learn).