UN Associate Data Specialist Jobs 2026: Data Analytics and Management Opportunity
Overview
The UN Resident Coordinator Office advertised an Associate Data Specialist position (job opening ID 282584) at the National Professional Officer level NO-B, in the Data Analytics and Management job family. It was a fixed-term post reporting to the Head of the Resident Coordinator Office. The vacancy was posted on 13 August 2026 and the deadline was 27 August 2026; the opening is no longer available.
The role supported better development coordination and progress toward the 2030 Agenda and the Sustainable Development Goals by building databases, data collection systems and analytical capacity to improve statistical efficiency and data quality. It involved working with data engineers, data scientists, data owners, subject matter experts, external partners, consultants and other UN entities.
What the role involved
Duties included developing databases and data collection systems, running analytics, cleaning and maintaining data, quality assurance, building reports and dashboards, automating manual processes, preparing datasets for analysts, producing basic visualizations, documenting methodologies and writing briefings. The specialist would also contribute to data science products using AI, machine learning, predictive analytics, data mining, text mining and natural language processing, and act as a resource person and informal mentor on data analytics.
Requirements
Applicants needed an advanced degree in computer science, data science, analytics, statistics, applied mathematics, information management, information systems or a related quantitative field, or a first-level degree with qualifying experience. At least two years of progressively responsible experience translating business requirements into technical solutions was required, including quality assurance of data analysis outputs. Experience with data validation and visualization tools such as Tableau, Power BI, Qlik and R was desirable, as were certifications in data engineering, analytics, AI, machine learning or cloud platforms such as AWS or Azure. English was required at UN Language Framework Level II across reading, writing, listening and speaking.