DATA SPECIALIST

### 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. 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 SDG's. 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 position is located in the United Nations Resident Coordination Office (RCO) in Bangui, Central African Republic under the direct supervision of the Head of the Resident Coordinator Office. ### Responsibilities Within delegated authority, the incumbent will perform the following duties: 1. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. 2. Identify, analyze, and interpret trends or patterns, using statistical methods to identify relevant features and variables in structured and unstructured sources of information and data. 3. Develop and implement various analysis, reporting and quality control capabilities; identify appropriate data sources for analytics projects; locate and define new data analysis process improvement opportunities. 4. Support the development of monitoring, evaluation and learning (MEL) products for UN Sustainable Development Cooperation Frameworks, leveraging UN organizations’ systems, UN-approved indicators, UN INFO, Power BI and other approved tools. 5. Keep abreast of UN efforts in co-design (with the national statistical partners) digital tools and dashboards that track progress against the national SDG indicator framework, ensuring interoperability between the national gateway, and other official platforms (using SDMX standard where appropriate) 6. Develop reports, dashboards or other tools to effectively summarize findings and convey information to management. 7. Document requirements, background information and methodology and establish documentation practices and standards for other staff to follow. 8. Create interactive and static data visualizations and employ advanced features of data visualization tools to aid decision-making and communications of analysis outputs. 9. Lead the production of data products, including the annual United Nations Country Results Report, using validated programme, results and financial data from UN INFO and other official sources. 10. Draft inputs for a wide range of documents and reports, including annual UNCT results reporting, briefings, debriefings and correspondence, drawing on quality-assured data and analysis. 11. Establish communication and cooperation with other parts of the organization to request data and express data needs. 12. Provide support to integrate monitoring milestones, indicators and evidence streams into common data pipelines, ensuring alignment with the Cooperation Framework and Funding Compact, and coordinate the timely, complete and accurate entry and quality assurance of UNCT data in UN INFO 13. Support UNCT statistical capacity-building by mapping and sequencing agency-specific technical assistance in line with Cooperation Framework, broker pooled funding opportunities for National Statistical System (NSS) priorities, and support convenings of data-partners between government, donors and civil society 14. Collaborate with data engineers and data scientists to improve data flows, data quality, etc. 15. Keep abreast of the current and emerging trends and developments in data analytics best practices, technologies and tools, and update management with findings and suggestions. 16. Conduct outcome-level analysis and contribution/attribution studies using mixed-methods to inform UN reporting and UN-commissioned evaluations 17. Identify gaps in the NSS using relevant statistical capacity monitoring tools and recommend coordinated UN responses, highlighting opportunities to leverage big-data pilots, citizen-generated data, or geospatial solutions 18. Support the assessment of model evaluation using appropriate validation metrics to ensure the model is comprehensive and supports the organizational objectives. 19. Conduct activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel. 20. Deliver training on results-based management, evaluation techniques and use of monitoring, evaluation and learning for staff members and government partners 21. Contribute to the provision of 'data clinics' on relevant topics, including gender-responsive statistics, new census methodologies, drawing on UN expertise and global curricula from the statistical community 22. Deliver trainings and workshops on data analytics tailored to different audiences as appropriate. 23. Support projects execution by conducting robust data analysis and collaborate with other team members to ensure that projects adhere to work plan objectives. 24.Supervise and guide other colleagues in the data-centric roles. 25. Execute and oversee specific projects and activities, ensuring effective use of resources and alignment with planned objectives. 26. Collaborate on the end-to-end monitoring, evaluation and learning cycle by working with the MEL group and national counterparts—so that planning, data collection, synthesis, validation and learning loops reinforce monitoring and support national statistical processes and standards 27. Utilize acquired resources to build analysis, reporting and quality control. 28. Support the development of materials for external and internal audits through data preparation, compliance tracking, and report generation. 29. Perform other related tasks as assigned ### Competencies PROFESSIONALISM: Working collaboratively, Strategic thinking, Analytical thinking, Ability to assess data accuracy and consistency by performing data validation, Skills in relational databases (SQL) and programming languages (Python, R). Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Able to analyze and interpret data in support of decision-making and convey resulting information to management. COMMUNICATION: Speaks and writes clearly and effectively; listens to others, correctly interprets messages from others and responds appropriately; asks questions to clarify and exhibits interest in having two-way communication; tailors language, tone, style and format to match audience; demonstrates openness in sharing information and keeping people informed. PLANNING AND ORGANIZING: Develops clear goals that are consistent with agreed strategies; identifies priority activit