Data analysis on Protection from Sexual Exploitation and Abuse

Support the PSEA Network in data analysis and risk registry drafting.

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UN RCO - United Nations Resident Coordinator Office

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Application deadline 1 year ago: Tuesday 5 Aug 2025 at 00:00 UTC

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Overview

Support the PSEA Network in data analysis and risk registry drafting.

You have:

  • Strong analytical and writing skills, with the ability to interpret data and present findings clearly using provided templates and tools.
  • Experience in data analysis (qualitative and/or quantitative) and a solid understanding of protection, PSEA or GBV principles.
  • Familiarity with Excel-based tools is required as the assignment relies primarily on a PDF toolkit and an Excel methodology tool.
  • A degree in data analytics, statistics, social sciences or other related fields is desirable.

Contract

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Potential interview questions

Can you describe your experience with data analysis and how it relates to protection issues? The interviewer wants to understand your background in data analysis specific to protection from sexual exploitation. Discuss specific projects where you contributed to data analysis and highlight your technical skills.
How would you approach drafting a Risk Registry based on your findings? This question assesses your understanding of risk assessment methodology and your organizational skills. Pro members can see the explanation.
What methods do you use to ensure that your data interpretation is accurate? Pro members can see the explanation. Pro members can see the explanation.
Can you give an example of a challenging data analysis task you completed and the outcome? Pro members can see the explanation. Pro members can see the explanation.
How do you ensure that the voices of at-risk populations are represented in your data analysis? Pro members can see the explanation. Pro members can see the explanation.
Describe your experience with qualitative and quantitative data analysis. How do you balance both types? Pro members can see the explanation. Pro members can see the explanation.
What strategies do you use to communicate your findings effectively to non-technical audiences? Pro members can see the explanation. Pro members can see the explanation.
How comfortable are you with using tools like Excel for data analysis? What features do you find most useful? Pro members can see the explanation. Pro members can see the explanation.
Added 1 year ago - Updated 1 year ago - Source: unv.org