Programme Analyst, Quality Assurance, Quality Programming Branch, Programme Division (PD), Nairobi, Kenya, P-2

Overview

The Programme Analyst, Quality Assurance contributes to ensuring UNFPA's programmes align with strategic plan priorities and adhere to quality standards. The role supports results planning, monitoring, and reporting, and prepares guidelines and tools for programme development and review processes.

Key Responsibilities

• Contribute to developing, revising, and implementing organizational policies, procedures, guidelines and tools, including AI-powered tools, to support results planning, monitoring and reporting.
• Provide analysis and substantive inputs to inform the development of guidelines, standards, and tools for results planning, monitoring and reporting.
• Support the planning and delivery of quality assurance exercises, including coordinating relevant analytical, liaison and correspondence areas of work.
• Produce evidence-based analyses, briefs and presentations on results planning, monitoring, reporting, quality programme dimensions, trends and/or emerging approaches.
• Coordinate and/or produce and maintain key creative communications products on quality programming, including the corporate country programme document database, and user-friendly resources on programming quality and processes.
• Support coordination with other UNFPA offices on collaborative streams of work on key programming issues.

Required Experience

At least two years of relevant experience, preferably in international development, public health, or other related fields; prior experience at regional or country level is an asset; Experience in data management, statistical analysis and quality assurance; Demonstrable expertise in qualitative and quantitative data analysis; application of AI and digital solutions, monitoring and evaluation and organizational skills are a plus.

Qualifications

Advanced university degree (master's or higher); preferably in international relations, social sciences, international development, information management, data science, computer science, artificial intelligence, demography, sociology, political science, development studies, public health, public policy, gender, law, human rights, and/or related disciplines.

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