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 Santiago, Chile, contributing to the UN 2.0 shift focused on data, digital, and innovation, reporting to the Head of the RCO.
Job Purpose
The Associate Data Specialist supports the UN Resident Coordinator Office (RCO) in Santiago, Chile, by developing and implementing databases, data collection systems, and analytics to optimize statistical efficiency and quality. This role contributes to the UN's reform efforts by supporting the achievement of the 2030 Agenda and SDGs. The specialist analyzes trends, cleans data, develops monitoring and evaluation products, and creates reports and dashboards to inform management and stakeholders. They also collaborate with internal and external partners, contribute to capacity-building initiatives, and stay updated on data analytics best practices to enhance the UN's data-driven approach.
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. Co-design digital tools and dashboards with national partners to track SDG progress. Create reports, dashboards, and visualizations to communicate findings and support decision-making. Track progress on data initiatives, gather business requirements, and contribute to data pipeline integration. Assist in capacity-building for UNCT staff on data analytics and results-based management. Support stakeholder communications by compiling data insights and developing supporting materials. Stay abreast of data analytics trends and best practices.
Work Experience
A minimum of two years of progressive experience in data analysis, knowledge management, or project management within development cooperation is required. Experience with relational databases (SQL) and programming languages (Python, R), and knowledge of the data lifecycle are essential. Experience in data quality assurance, validation, data storytelling, and visualization tools is desirable.
Skills
Professionalism, Planning and Organizing, Client Orientation, Project Management, Strategic Thinking, Analytical Thinking, Resource Management, Quality Assurance, Data Collection, Data Analysis, Data Visualization, SQL, Python, R, Data Storytelling, Training Development.