ASSOCIATE DATA SPECIALIST, NOB

## ASSOCIATE DATA SPECIALIST, NOB - Organization:RCS - Resident Coordinator System - Office:RCS in Luanda, Angola Org. Setting and Reporting:The UN Secretary-General launched on 1 January 2019 a bold and new global reform which repositioned the UN Development System to deliver more effectively and efficiently with the achievement of the 2030 Agenda and the Sustainable Development Goals (SDGs). As part of this reform, UN Resident Coordinator Offices (UN RCO), under the leadership of an empowered and independent UN Resident Coordinator - the highest-ranking official of the UN Development System and Representative of the UN Secretary-General at country level - support countries in the achievement of their development priorities and the attainment of the SDGs. In its Resolution A/RES/72/279, the United Nations General Assembly endorsed the transformation of the Development Operations Coordination Office (DCO) as a stand-alone coordination office within the United Nations Secretariat. DCO exercises managerial and oversight functions of the Resident Coordinator System under the oversight of the Chair of United Nations Sustainable Development Group (UNSDG). In 2026, DCO undertook a recalibration to ensure the RC system remains optimally configured to support the acceleration of the 2030 Agenda and embodies the UN 2.0 shift- anchored in data, digital, innovation, behavioral science, strategic foresight, and a mission driven organizational culture. The Associate Data Analyst contributes to interacting with counterparts, officers and technical staff in relevant organizational units in data engineering, data science and other data specialists, data owners and subject matter experts for the development and implementation of the databases, data collection systems and data analytics that optimize statistical efficiency and quality. It also contributes to the interaction with external counterparts in the UN funds, programs and other UN specialized agencies, consultants, and NGOs to collaborate and exchange information and best practices. The incumbent will interact closely with colleagues across resident and non-resident UN entities, government counterparts, development partners, civil society organizations, academic institutions and other relevant stakeholders involved in the implementation and monitoring of the United Nations Sustainable Development Cooperation Framework (UNSDCF). The incumbent will support the United Nations Country Team (UNCT), Results Groups and the Monitoring, Evaluation and Learning (MEL) Group through the consolidation, validation and quality assurance of agency inputs; tracking of Cooperation Framework indicators, milestones and results; follow-up on reporting commitments; and preparation of analytical products and evidence for Results Group, MEL Group and UNCT reviews and discussions. The role will contribute to strengthening the use of data, evidence and analytical insights to support Cooperation Framework monitoring, assess progress towards agreed results, identify emerging trends and gaps, and inform strategic discussions, reporting, learning and adaptive management; support the coordination and follow-up of inter-agency data, monitoring and reporting processes, including the consolidation of inputs, tracking of agreed actions and timelines, and resolution of data and reporting gaps across UN entities and relevant national counterparts and conduct and support integrated analysis of Cooperation Framework results, indicators and evidence across UN entities and national sources, identifying trends, gaps, interlinkages and emerging issues to inform UNCT decision-making, joint planning and adaptive management. This position is located within the Office of the United Nations Resident Coordinator (Head RCO) in Luanda, Angola and reports to the Development Coordination Officer, Strategic Planning and RCO Team Leader. Responsibilities:Within delegated authority the incumbent will support on inter-agency UNCT groups, track the Cooperation Framework and perform the following duties: 1. Implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. 2. Contribute to the identification, analysis and interpretation of trends or patterns, using statistical methods to identify relevant features and variables in structured sources of information and data. 3. Implement process improvement mechanisms for data analytics tasks; acquire and clean data from primary or secondary sources and maintain databases/data systems. 4. Contribute to the development of monitoring, evaluation and learning (MEL) products for UN Sustainable Development Cooperation Frameworks using approved indicators and tools. 5. Keep abreast of UN efforts in co-design (with national statistical partners) digital tools and dashboards that track progress against the national SDG indicator framework for interoperability between the national gateway and other official platforms. 6. Contribute to the development of reports, dashboards or other tools to effectively summarize findings and convey information to management. 7. Contribute to the creation of basic data visualization outputs to aid decision-making and communication of analysis outputs. 8. Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff. 9. Contribute to the production of data products such as reports or newsletters related to data analysis activities. 10. Contribute to activities for integrating monitoring milestones, indicators and evidence streams into common data pipelines based on the Cooperation Framework and Funding Compact. 11. Assist in UNCT statistical capacity-building by contributing to the mapping and sequencing of agency-specific technical assistance in line with the Cooperation Framework. 12. Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications. 13. Keep abreast of current and emerging trends and developments in data analytics best practices, technologies and tools, and assist with identifying findings and recommendations. 14. Assist in conducting outcome-level analysis and contribution/attribution studies using mixed methods to inform UN reporting and UN-commissioned evaluations. 15. Contribute to activities aimed at building capacity of staff on data analytics, including training for staff members and other personnel. 16. Assist in the delivery of training on results-based management, evaluation techniques, and the use of monitoring, evaluation and learning for staff members and government partners. 17. Assist with activities for the monitoring, evaluation and learning cycle to support the MEL group and national counterparts, ensuring that planning, data collection, synthesis, validation and learning processes reinforce monitoring and support national statistical processes and standards. 18. Conduct data gathering and preliminary analysis, providing support in the exploration of data-driven opportunities for organizational advancement. 19. Find and identify new data sources and data gathering techniques. 20. Contribute to the development of processes and tools to monitor and analyze model performance and data accuracy. 21. Conduct data collection, cleaning, and preliminary analysis, contributing to the identification of patterns and trends. 22. Contribute to the design and development of data science products to reveal insights and to provide an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches. 23. Perform other related tasks as assigned. Competencies:PROFESSIONALISM: Knowledge and understanding of sustainable development theor