Data Specialist, NOC

The Data Specialist supports the UN Resident Coordinator Office in Mogadishu by developing and implementing data collection systems, analytics, and reporting tools to optimize statistical efficiency and quality. The role involves data analysis, visualization, capacity building, and collaboration with UN agencies and partners to support the achievement of the 2030 Agenda and SDGs.

Responsibilities

• 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.
• Draft 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 standards.
• Utilize acquired resources to build analysis, reporting and quality control.
• Perform other related tasks as assigned.

Requirements

• An advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, applied mathematics, information management, data management, information systems, information science, economic or social sciences, or a related field, is required.
• A first-level university degree (Bachelor’s degree or equivalent) in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree.
• A minimum of five (5) years of progressively responsible experience demonstrating the knowledge, skills and ability to translate business requirements into technical solutions is required.
• Demonstrated skills in data storytelling and data visualization tools such as Tableau, Power BI, Qlik, and R is required.
• Demonstrated ability to perform quality assurance of data analysis outputs is required.
• Demonstrated ability to assess data accuracy and consistency by performing data validation is desirable.
• Experience in providing strategic support to research and data analysis, knowledge management or project/programme management in the context of development cooperation or related area is desirable.
• English is required at UN Level III for reading, writing, listening and speaking.
• Arabic is required at UN Level III for reading, writing, listening and speaking.

Skills

• Data Storytelling
• Data Visualization
• Tableau
• Power BI
• Qlik
• Quality Assurance
• Data Validation
• Data Analysis
• Data Collection Systems
• Analytics
• Reporting Tools
• Capacity Building
• Strategic Support
• Project Management
• Knowledge Management

Languages

English, Arabic