Data Integration & Diagnostics Support for UNDP

Overview

Support UNDP's Open and Inclusive Public Sphere (OIPS) agenda in Asia and the Pacific through data integration, analysis, and the development of a diagnostic tool.

Key Responsibilities

• Identify, compile, and organize relevant quantitative and qualitative datasets (approx. 25-30 datasets) responding to key dimensions of the OIPS agenda.
• Assess the scope, methodology, coverage, strengths, limitations, and relevance of available datasets and indicators.
• Analyse and synthesize information across sources to identify relationships, complementarities, overlaps, and gaps.
• Support the development of diagnostic indicators and analytical dimensions for assessing OIPS conditions across the region and within countries, enabling both snapshot and longitudinal analysis.
• Develop and maintain a structured record keeping framework/tool that brings together relevant information and facilitates interpretation and future use.
• Prepare concise analytical outputs and visualizations highlighting key findings and insights.

Required Experience

• Familiarity with the Asia-Pacific region and ability to work across diverse country contexts and varying levels of data availability.
• Strong quantitative skills and experience working with multiple quantitative and qualitative data sources.
• Proficiency in Excel or Google Sheets for data cleaning, organization, and analysis.
• Familiarity with Python, R, or similar tools for data processing and visualization.
• Ability to integrate and harmonize datasets across different indicators, definitions, countries, and time periods.
• Ability to develop and interpret indicators and identify patterns, trends, and gaps across datasets.

Qualifications

Background in data analysis, social sciences, economics, public policy, international development, or a related field.

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