Analytical Support - Quantitative Analysis of Survey Responses on Global Youth Mapping in Small Island Developing States (SIDS)
Support quantitative analysis of youth digital survey data
This opening expired 3 years ago.
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Overview
Support quantitative analysis of youth digital survey data
You have:
- Experience undertaking quantitative analysis of large datasets.
- Experience using applications or software (e.g. R Studio, Stata, etc.) to conduct quantitative analysis.
- Experience conducting Latent Class Analysis would be especially desirable.
- Experience presenting insights from data for senior decision-makers.
Contract
This is a UNV contract. More about UNV contracts.
The UNDP Global Centre for Technology, Innovation, and Sustainable Development (based in Singapore) is working with the UNDP Global Small Island Developing States (SIDS) team to learn what young people (aged 18-35) think about digital and digital technologies in SIDS around the world. It is this generation that will shape the next generation of technology, and this survey will be important in guiding efforts to best support digital development in small states. This will be the largest ever global youth mapping of the digital economy in small island states. Voices from small island states tend to be underrepresented, and we hope this study will begin to change that. We’re making use of an interactive chatbot to administer the survey on channels where young people are: WhatsApp, Telegram, and Facebook Messenger.
The UNDP Global Centre is looking to work with an Online Volunteer with a strong background in quantitative analysis of data. In particular, an individual able to identify insights from larger datasets. We have 3,500+ textual responses to a 13-question survey and are keen to explore this data to generate new insights. We are especially interested in Online Volunteer with experience conducting Latent Class Analysis. The Online Volunteer must have access to suitable software or applications (e.g.: R Studio, Stata, etc.) to conduct this assignment.
Experience undertaking quantitative analysis of large datasets.
Experience using applications or software (e.g. R Studio, Stata, etc.) to conduct quantitative analysis.
Experience conducting Latent Class Analysis would be especially desirable.
Experience presenting insights from data for senior decision-makers.
Potential interview questions
| Can you describe a time when you analyzed a large dataset and what insights you were able to provide? | This question gauges your experience with data analysis and ability to derive valuable insights. | Discuss a specific project, the dataset, the analysis process, and the outcomes. |
| What software tools do you prefer for statistical analysis, and why? | This explores your familiarity with relevant software and methodology in your analysis work. | Pro members can see the explanation. |
| Explain a challenging data analysis problem you faced and how you resolved it. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you ensure the accuracy and validity of your quantitative analysis? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you provide an example of how you presented data insights to senior stakeholders? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 3 years ago
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Updated 1 year ago
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Source:
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