Associate Data Specialist
Organizational Context
The UN Resident Coordinator Offices (UN RCO), part of 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 Santo Domingo, Dominican Republic, contributing to the UN 2.0 shift focused on data, digital, and innovation.
Job Purpose
The Associate Data Specialist is responsible for implementing and optimizing databases, data collection systems, and data analytics to enhance statistical efficiency and quality. This role involves identifying trends, acquiring and cleaning data, and developing monitoring and evaluation products for UN Sustainable Development Cooperation Frameworks. The specialist will contribute to co-designing digital tools and dashboards, summarizing findings for management, and supporting data-driven analysis across departments. Additionally, the position aids in capacity-building for data analytics and contributes to reporting and communication efforts related to data insights, ensuring alignment with UN 2.0 principles.
Responsibilities
Implement and optimize databases, data collection systems, and analytics for statistical efficiency and quality. Analyze and interpret trends using statistical methods, acquiring and cleaning data, and maintaining data systems. Develop monitoring, evaluation, and learning (MEL) products for UN Sustainable Development Cooperation Frameworks. Collaborate on co-designing digital tools and dashboards with national statistical partners. Create reports, dashboards, and visualizations to communicate findings and support decision-making. Track data initiatives, gather business requirements, and contribute to integrating data into common pipelines. Assist in UNCT statistical capacity-building and provide support for data-related training and workshops. Compile data insights, develop supporting materials for stakeholders, and stay updated on data analytics best practices. Conduct outcome-level analysis and contribute to identifying and solving data gaps.
Work Experience
A minimum of two years of progressive experience in research and data analysis, knowledge management, or project management within development cooperation is required. Experience in data life cycle management (collection, wrangling, analysis, visualization, reporting) is essential. Experience in data quality assurance, validation, data storytelling, and visualization tools is desirable.
Skills
Professionalism, Planning and Organizing, Communication, Teamwork, Project Management, Strategic Thinking, Analytical Thinking, Resource Management, Quality Assurance, Data Collection, Data Analysis, Data Visualization, Training Development.