Qualitative and Quantitative Data Analysis for Youth Co:Lab Research

Contract

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We are looking for a methodical, analytical, and motivated Online Volunteer to support Youth Co:Lab - an initiative co-led by UNDP and Citi Foundation - to conduct qualitative and quantitative data analysis to support programme research. The Online Volunteer will be requested to read and analyse project documents and extract key indicators, according to a list that will be provided by the Youth Co:Lab team. The Online Volunteer will map the relevant indicators into a table in Excel and to analyse the headline data, with the support of the team.

• Research

• Other development programme/project experience

  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. Youth Co:Lab has been implemented in 26 countries and territories across Asia Pacific. The Online Volunteer will support delivery of Youth Co:Lab's research and thought leadership component. Youth Co:Lab generates evidence in order to strengthen the ecosystem for youth leadership, social innovation and entrepreneurship in Asia-Pacific. Through its thought leadership, Youth Co:Lab also aims to increase visibility of its mission to position young people front and centre to solve the region’s toughest challenges and encourage both young people and supporters in Asia-Pacific to join the movement in pursuit of this mission. See our website for more background: https://www.youthcolab.org/

• Volunteers: 2 needed

• 6-10 hours per week / 4 weeks

  Experience in quantitative and qualitative data analysis. Attention to detail. Good writing skills in English. High degree of proficiency in Excel or other data analysis software.

• Asia

• English