ASSOCIATE DATA SPECIALIST

background information and methodology and establish documentation practices and standards for other staff to follow. 10. Contribute to co-designing, with national statistical partners, digital tools and dashboards that track progress against the national SDG indicator framework and support interoperability with official national platforms. 11. Draft inputs for a wide range of documents/reports, briefings/debriefings, correspondence, etc. 12. Contribute to the development of processes and tools to monitor and analyze model performance and data accuracy. 13. Design internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability 14. Implement solutions to data-related technical problems and data infrastructure updates. 15. Contribute to the preparation and organization of datasets to ensure data scientists and analysts have the necessary data for feature extraction. Perform routine data processing and quality checks to maintain data integrity. 16. Collaborate with data engineers and data scientists to improve data flows, data quality, etc. 17. Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs. 18. Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff. 19. Contribute to the production of data products like reports or newsletters related to data analysis activities. 20. Conduct data collection, cleaning, and preliminary analysis, contributing to the identification of patterns and trends. 21. Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications. 22. Keep abreast of current and emerging trends in data analytics best practices, technologies, and tools, and proposes their application to strengthen the RCO's analytical function. 23. Build staff and partner capacity on data analytics, including delivering trainings and workshops for UN personnel and national counterparts. 24. Support data preparation and preliminary analysis, verification, and pattern identification; contributes to routine reporting and administrative aspects of the work plan. 25. Contribute to the design and development of data science products, including through advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and related algorithms and computational approaches, to generate insights not otherwise detectable through standard analysis. 26. Serve as a resource person and informal mentor on data analytics within the RCO, promoting a data-driven culture and knowledge-sharing across results groups. 27. Performs other duties as assigned CompetenciesPROFESSIONALISM: Working collaboratively, Strategic thinking, Analytical thinking, 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. The ability to analyze and interpret data in support of decision-making and convey resulting information to management. 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. COMMUNICATION: Speaks and writes clearly and effectively; listens to others, correctly interprets messages from others and responds appropriately; asks questions to clarify and…