Research & Data Analysis
Assist in data analysis for project risk evaluation.
This opening expired 3 years ago.
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Overview
Assist in data analysis for project risk evaluation.
You have:
- Experience in qualitative data analysis is required.
- Familiarity with Enterprise Risk Management (ERM) principles is required.
- Strong logical reasoning skills are essential for assessing risks.
- Ability to work diligently and manage a large dataset is required.
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 past experience where you had to analyze a large dataset? | This question aims to explore your hands-on experience with data analysis and understanding your approach to handling complexity. | Highlight a specific project, your methods for data analysis, and the outcome of your findings. |
| What is your understanding of Enterprise Risk Management and its importance? | The interviewer is assessing your knowledge of ERM principles and how they relate to project management. | Pro members can see the explanation. |
| How do you ensure accuracy and reliability in your data analyses? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time you had to assess different types of risks in a project. What was your approach? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you prioritize your tasks when dealing with multiple data assessments? | 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:
unv.org
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