Data Integration & Diagnostics Support for UNDP

Data Integration & Diagnostics Support for UNDP

Attention! Please note that this is an Online Volunteering assignment. It's a short-term, task-based and non-contractual remote assignment; Online Volunteers are not UN Volunteers and do not receive any allowance or entitlements as part of the Online Volunteer assignment but receive a certificate of appreciation after successful completion. In addition, UNV is not involved in the selection process or collaboration.

Host entity: UNDP Youth Empowerment Portfolio in Asia and the Pacific (YEP-AP)

Advertisement end date: 2026-11-12T00:00:00

General

Description of assignment title: Data Integration & Diagnostics Support for UNDP

Assignment country: Thailand

Duration: 35 days

Sustainable Development Goal: 8. Decent work and economic growth

Modality: Online

Work schedule: 11 - 15 hours per week

For how many hours per week will the volunteer be required?: 11 - 15 hours per week

Number of Assignments: 1

Details

Mission and objectives

Youth Co:Lab positions young people front and center in order to solve the region’s most pressing challenges. Co-created in 2017 by the United Nations Development Programme (UNDP) and the Citi Foundation, Youth Co:Lab aims to establish a common agenda for countries in the Asia-Pacific region to empower and invest in youth so that they can accelerate the implementation of the Sustainable Development Goals (SDGs) through leadership, social innovation and entrepreneurship.

Context

Asia and the Pacific has a large and diverse youth population, but young people continue to face significant barriers to accessing decent work and sustainable livelihoods. Globally, around 1.2 billion young people are expected to enter the workforce over the next decade, while only around 400 million jobs are projected to be created, highlighting the scale and urgency of the challenge.

At the same time, the region presents significant opportunities to advance more inclusive and productive employment. UNDP supports these efforts through partnerships and innovation ecosystems such as Youth Co:Lab and Skill Our Future, as well as country-level collaborations, including initiatives supporting informal workers. Against this backdrop, research and evidence can help identify and document relevant policies, programmes, partnerships, and approaches to youth employment and economic empowerment.

Task type

Data analysis

Task description

The Online Volunteer will support UNDP’s youth employment and economic empowerment agenda in Asia and the Pacific through data integration, analysis, and the development of an evidence-based diagnostic tool.

Under the supervision of the Programme Specialist, Civil Society and Youth, the Online Volunteer will bring together relevant quantitative and qualitative datasets and identifying how different sources can be combined to assess key dimensions of the UNDP’s youth employment and economic empowerment agenda across countries in the region.

Specific tasks include:

• Identify, compile, and organize relevant quantitative and qualitative datasets (approx. 25-30 datasets) responding to key dimensions of the Jobs4Prosperity 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 Jobs4Prosperity conditions across the region and within countries, enabling both snapshot and longitudinal analysis.
• Develop and maintain a structured excel sheet for record keeping purposes that brings together relevant information identified during the research and makes it available for future use.
• Prepare two pages of analytical outputs and two data visualizations highlighting key findings and insights.

Assignment requirements

Relevant experience: No experience required

Languages: English, Level: Fluent, Required

Required education level: Bachelor's degree

Area(s) of expertise: Data science, information management, Artificial Intelligence, Record processing, data logging, Statistics, population science

Driving license: -

Skills and experience

Required skills and experience:

• Background in data analysis, social sciences, economics, public policy, international development, or a related field.
• 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.
• Strong written communication skills in English,
• Strong organizational and time-management skills, with the ability to work independently and incorporate feedback.