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 Data Analyst interacts 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 to develop and implement the databases, data collection systems and data analytics that optimize statistical efficiency and quality. It also interacts with external counterparts in the UN funds, programs and other UN specialized agencies, consultants, and NGOs to collaborate and exchange information and best practices. This position is located within the Office of the United Nations Resident Coordinator (Head RCO) in Mogadishu, Somalia and reports to the Head of Resident Coordinator’s Office/Team Leader.
Responsibilities
Within delegated authority the incumbent will support on inter-agency UNCT groups, track the Cooperation Framework and perform the following duties:
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- 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.
- 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.
- Develop reports, dashboards or other tools to effectively summarize findings and convey information to management.
- Document requirements, background information and methodology and establish documentation practices and standards for other staff to follow.
- Create interactive and static data visualizations and employ advanced features of data visualization tools to aid decision-making and communications of analysis outputs.
- Lead production of data products such as reports or newsletters related to data analysis activities.
- Drafts inputs for a wide range of documents/reports, briefings/debriefings, correspondence, etc.
- Establish communication and cooperation with other parts of the organization to request data and express data needs.
- Collaborate with data engineers and data scientists to improve data flows, data quality, etc.
- 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.
- Conduct activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel.
- Support projects execution by conducting robust data analysis and collaborate with other team members to ensure that projects adhere to work plan objectives.
- 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.
- Support the assessment of model evaluation using appropriate validation metrics to ensure the model is comprehensive and supports the organizational objectives.
- Conduct outcome-level analysis and contribution/attribution studies using mixed-methods to inform UN reporting and UN-commissioned evaluations.
- Deliver trainings and workshops on data analytics tailored to different audiences as appropriate.
- Supervise and guide other colleagues in data-centric roles.
- Execute and oversee specific projects and activities, ensuring effective use of resources and alignment with planned objectives.
- 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