Data analysis and visualisation for UNDP's Data Futures Platform
Support data collection, analysis and visualization for socioeconomic impacts of COVID-19.
Overview
Support data collection, analysis and visualization for socioeconomic impacts of COVID-19.
You have:
- Experience in data visualization using tools like Tableau, Power BI, Flourish, or JavaScript.
- Knowledge in frontend web design and experience with WordPress and Figma.
- Understanding of data science concepts including machine learning and AI applications.
- Skill in developing and analyzing surveys for data collection.
- Willingness to commit 6-10 hours per week for 26 weeks.
Contract
This is a UNV contract. More about UNV contracts.
UNDP’s Data Futures Team is looking for bright data volunteers to support its work on data collection, analysis and visualization to support the expansion of UNDP’s new Data Futures Platform https://data.undp.org/. The volunteers will be working with primary and secondary data sources to develop visualisations, dashboards and trackers that are interactive and help tell the narrative of the socioeconomic impacts of COVID-19 related to distinct global and local issues. Additionally, they will support the team in its efforts to advise countries on COVID-19 Socioeconomic Impact Assessments which includes thorough surveying and data collection activities. The skills needed for these initiatives include data visualization, web design, data science and surveying. Further details can be found in the following sections. Please note that the duration of each assignment will vary, and this will be discussed with the selected volunteer/s to ensure availability prior to commencement of assignment.
- Technology development
Web and graphic design
In December 2020, the United Nations Development Programme (UNDP) launched the Data Futures Platform to be a global resource that uses data and insights to empower decision makers tackling socio-economic recovery and beyond. Given the urgency and pre-eminence of COVID-19, the platform features mainly datasets relevant and related to the pandemic in the context of the 5 Pillars of the UN Development System's response. The platform is intended to support UNDP Offices, governments, donors, academia and the general public with analysis and insights on national, regional and global socioeconomic effects of COVID-19. UNDP's COVID-19 response also includes the implementation of national-level Socioeconomic Impact Assessments (SEIA) to provide governments with comprehensive and timely information for evidence-based decision-making in responding to the needs of affected populations and enterprises in the immediate, medium and long-term. These SEIAs utilise an open-source primary data collection software that enables governments to embrace digital transformation. The volunteers will support both of these interconnected areas of work with UNDP's Data Futures team in New York.
Volunteers: 10 needed
6-10 hours per week / 26 weeks
Distinct profiles include: 1) Data visualization: data viz best practices, data preparation, modeling, creating visualisations using Tableau, Power BI, Flourish or JavaScript. 2) Frontend web design: experience with WordPress, webpage design using Figma. 3) Data science: machine learning and AI applied to policy issues including the application of satellite images to bridge data gaps globally and advanced text analysis. 4) Statistics and survey analysis: developing surveys and data collection.
Global
- English
Potential interview questions
| Can you describe a project where you successfully used data visualization techniques? | This question assesses your practical experience and proficiency in data visualization. | Discuss the project clearly, highlight the tools you used and the impact of your visualizations. |
| What methods do you use for effective data analysis? | The interviewer wants to understand your analytical approach and thinking. | Pro members can see the explanation. |
| How do you ensure the validity of data collected from surveys? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you give an example of how you applied machine learning to a dataset? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you prioritize tasks when working on multiple projects simultaneously? | Pro members can see the explanation. | Pro members can see the explanation. |