Research & Data Analysis

Assist in conducting qualitative data analysis on project risks

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Application deadline 3 years ago: Thursday 17 Nov 2022 at 00:00 UTC

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Overview

Assist in conducting qualitative data analysis on project risks

You have:

  • Experience with qualitative data analysis and research methodologies.
  • Strong understanding of Enterprise Risk Management (ERM) principles.
  • Ability to work with a large dataset and follow a structured assessment methodology.
  • Excellent logical and numerical reasoning skills.

Contract

This is a UNV contract. More about UNV contracts.

The “next-generation UNDP” is an organization that is more nimble, innovative and enterprising – a thought leader that succeeds in taking and managing risks. This demands an organization-wide understanding of the changing context around us and forward-looking in navigating the uncertainties that can accelerate or hinder progress towards sustainable development. Acknowledging risks – both threats and opportunities - and making informed decisions is the foundation of an innovative and enterprising organization. It gives us the confidence to test new ideas while avoiding harm and unnecessary loss. We employ Enterprise Risk Management to become a smarter and more agile organization. To facilitate this shift from risk aversion to responsible risk-taking, the regional office is working to strengthen risk management in projects across the region. The online volunteers will work with a Risk Management Specialist and other colleagues to conduct the quality assessments based on a pre-defined methodology. The team will implement a research instrument with the objective to evaluate the quality of the sample, build a database of results, and contribute to the final analysis of the risk data.

We are looking for 4 online volunteers to help UNDP become a smarter and more agile organization, by carrying out qualitative data analysis on a large dataset of project risks. It is an opportunity to learn about Enterprise Risk Management (ERM) for project management at UNDP and strengthen your qualitative and analytical research experience.

The analysis involves rating the risk entries using a Likert scale approach, following a guidance that is provided in a detailed methodology paper. These are project risks that define what uncertainties the projects may face during implementation and how to address them, in line with the UNDP ERM policy. The assignment involves analyzing the risk and scoring, to determine the quality of risk description, for all country offices in the Asia and the Pacific region. It is a follow up analysis following a baseline conducted in 2021, and a mid-term follow up done in Q2 of 2022.

The work will require diligence, due to the substantial number of risks identified by projects across the region, but also because assessment of risks requires excellent logical and numerical reasoning, and ability to apply general policy principles to specific cases. We expect that the volunteers will be willing to work diligently as we conduct the research; each volunteer will be assigned a sample set of risks to assess using a structured online instrument.

Potential interview questions

Can you describe a situation where you had to analyze complex data? This assesses your analytical skills and how you tackle complexity in data. Provide a clear example of your approach to data analysis, highlighting the steps you took.
How do you ensure accuracy in your data analysis? This question evaluates your attention to detail and commitment to quality. Pro members can see the explanation.
Tell me about a time you had to apply policy principles to a project. What was the outcome? Pro members can see the explanation. Pro members can see the explanation.
What steps do you take when you encounter discrepancies in data? Pro members can see the explanation. Pro members can see the explanation.
Describe an experience where you had to work under tight deadlines. How did you manage? Pro members can see the explanation. Pro members can see the explanation.
Added 3 years ago - Updated 1 year ago - Source: unv.org