Quantitative data analysis on SDGs from a gender perspective - Phase 2
Support data analysis on gender aspects of SDGs for reports.
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Overview
Support data analysis on gender aspects of SDGs for reports.
You have:
- Advanced computer skills and proficiency in analytical software (e.g., SPSS, STATA etc.) is required.
- Strong analytical and writing skills as well as the ability to provide and present data in a concise manner is required.
- A degree in data analytics, mathematics, statistics, public policy or other related fields is considered an asset.
Contract
This is a UNV contract. More about UNV contracts.
We are looking for one Online Volunteer who under the guidance of the Statistics Specialist can support our organization/project team with conducting quantitative data analysis related to the SDG Gender Snapshot 2026 Report which is released annually in time for UNGA. The database creation is for a project on inequalities between women and girls.
The Online Volunteer will be responsible for: - Discuss and consolidate indicators and datasets related to gender and the SDGs - Conduct analysis of data and identify relevant trends, patterns, and key findings on the status and progress on SDGs from a gender perspective - Develop background notes, according to agreed reporting plan, including visualization and narrative interpretations of findings as required based on literature review.
The Online Volunteer will be provided with information on where to consolidate data from in order to create a dataset to conduct the analysis and is required to update on the progress during regular calls which will be held weekly or via email exchanges.
Candidates should have advanced computer skills and proficiency in analytical software (e.g., SPSS, STATA etc.). Strong analytical and writing skills as well as ability to provide and present data in a concise manner is required. A degree in data analytics, mathematics, statistics, public policy or other related fields is considered an asset.
Potential interview questions
| Can you describe your experience with analyzing quantitative data? | This helps gauge the candidate's analytical skills and relevant experience. | Discuss specific tools and methods you've used in your previous projects. |
| How do you ensure the accuracy and reliability of your data analyses? | This assesses the candidate's understanding of data integrity. | Pro members can see the explanation. |
| What analytical software do you have experience with, and how have you used it? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you approach data visualization to convey complex findings? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain a time when you identified a trend in data that was significant? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you manage your workload and deadlines in a remote working environment? | Pro members can see the explanation. | Pro members can see the explanation. |
| What steps do you take to present data findings to stakeholders? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe how you would handle conflicting data from different sources. | Pro members can see the explanation. | Pro members can see the explanation. |
Added 1 month ago
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Updated 1 month ago
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Source:
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