Quantitative data analysis on UNV Learning Programmes
Support capacity development team in quantitative data analysis for UNV Learning Programmes.
This opening expired 10 months ago.
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Overview
Support capacity development team in quantitative data analysis for UNV Learning Programmes.
You have:
- Strong data analysis skills and experience with relevant software (e.g., Excel, SPSS)
- Strong analytical and writing skills, as well as ability to provide and present data in a concise manner.
- Ability to create clear, informative graphs and visual representations of data
- Attention to detail and ability to identify trends in complex data sets.
- A degree in data analytics, mathematics, statistics, or other related fields is considered an asset.
Contract
This is a UNV contract. More about UNV contracts.
The UNV Capacity Development Learning Facility Programme and UNV Youth Workshops are learning initiatives that support UN Volunteers in their professional development. To assess the outcomes of the overall learning offer, volunteer reporting feedback and evaluation data have been collected. The goal is to evaluate the programmes' effectiveness and provide insights to enhance future initiatives.
We are looking for 1 Online Volunteer who under the guidance of Learning Associate, will support our Capacity Development Team with conducting a quantitative data analysis of the UNV Learning Programmes. The Online Volunteer will be responsible for: - Discuss and consolidate indicators and datasets for the analysis exercise - Suggest indicators and tabulation plan to conduct analysis - Conduct analysis of data and identify relevant trends, patterns, and key findings - Develop a report, according to agreed reporting plan, including visualization and narrative interpretations of findings as required
The Online Volunteer will be provided with datasets to conduct the analysis and is required to update on the progress during regular calls.
The Online Volunteer will have the opportunity to build connections with UNV Capacity Development and learn about how data can support the improvement of learning initiatives and meet UN Volunteers' learning needs.
- Strong data analysis skills and experience with relevant software (e.g., Excel, SPSS)
- Strong analytical and writing skills, as well as ability to provide and present data in a concise manner.
- Ability to create clear, informative graphs and visual representations of data
- Attention to detail and ability to identify trends in complex data sets.
A degree in data analytics, mathematics, statistics, or other related fields is considered an asset.
Potential interview questions
| Can you describe a time when you used data analysis to inform a decision? | This question assesses your practical experience in data analysis and its impact on decision-making. | Provide a specific example where your analysis led to meaningful outcomes. |
| What software tools have you used for data analysis and how proficient are you with them? | The interviewer wants to gauge your technical skills and familiarity with relevant tools. | Pro members can see the explanation. |
| How do you ensure the accuracy and reliability of your data analyses? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenging data set you worked with and how you managed to extract useful insights. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you prioritize tasks when dealing with multiple data requests simultaneously? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you give an example of how you presented data findings to a non-technical audience? | Pro members can see the explanation. | Pro members can see the explanation. |
| What indicators would you suggest to evaluate the effectiveness of a learning program? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you keep up with the latest trends in data analysis and visualization? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 11 months ago
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Updated 10 months ago
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Source:
unv.org
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