Org. Setting and ReportingThe 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. 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. This is a FIXED TERM LIMITED POSITION. This position is located within the Office of the United Nations Resident Coordinator (Head RCO) in Lome, Togo and reports to the Development Coordination Officer, Strategic Planning and RCO Team Leader. ResponsibilitiesWithin delegated authority, the incumbent will be responsible of 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 reports, dashboards or other tools to effectively summarize findings and convey information to management. 5. Track and report on progress regarding department specific data initiatives. 6. Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs. 7. Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff. 8. Contribute to the production of data products like reports or newsletters related to data analysis activities. 9. Contribute to data collection and gathering business requirements across departments to identify pain points and support data-driven analysis. 10. Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications. 11. Keep abreast of the current and emerging trends and developments in data analytics best practices, technologies, tools, etc. 12. Contribute to data collection and preliminary analysis to support the preparation and verification of data used in model assessments. 13. Contribute to activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel. 14. Contribute to the trainings and workshops on data analytics. 15. Contribute to data preparation and preliminary analysis, support team members in data verification and routine reporting tasks, help in administrative aspects of the work plan. 16. Perform other related tasks as assigned. Competencies• PROFESSIONALISM: Knowledge and understanding of sustainable development theories, concepts and approaches. Ability to identify and develop sources for data collection. Ability to undertake research, analyze data, make recommendations and write draft reports on sustainable development issues. 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. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. • 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. • TEAMWORK: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others' ideas and expertise; is willing to learn from others; places team agenda before personal agenda; supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position; shares credit for team accomplishments and accepts joint responsibility for team shortcomings. EducationAn 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 or a related quantitative 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. Job - Specific QualificationNot available. Work ExperienceA minimum of two (2) years of progressively responsible experience demonstrating ability to translate business requirements into technical solutions is required. Demonstrated ability to perform quality assurance of data analysis outputs is desirable. Demonstrated ability to assess data accuracy and consistency by performing data validation is desirable. Demonstrated skills in data storytelling and data visualization tools such as Tableau, Power BI, Qlik, and R is desirable. Demonstrated knowledge of data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is desirable. Demonstrated skills on Project management is desirable. LanguagesEnglish and French are the working languages of the United Nations Secretariat. For this job opening, French is required. English is desirable. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages.un.org for details).