Data Analysis on Digital Technologies & Innovations for Climate Resilience

Support data gathering and analysis for climate resilience.

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UNEP - United Nations Environment Programme

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Application deadline 2 years ago: Tuesday 25 Jun 2024 at 00:00 UTC

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Overview

Support data gathering and analysis for climate resilience.

You have:

  • Advanced computer skills and proficiency in analytical software (e.g., Excel, SPSS, SATA).
  • Strong analytical and writing skills.
  • Basic knowledge on climate change, digital technologies and energy transition.
  • Degree in data analytics, mathematics, statistics or related fields.

Contract

This is a UNV contract. More about UNV contracts.

UNEP and UN Women are jointly implementing Phase II of the Programme - “EmPower: Women for Climate- Resilient Societies” (EmPower) - running from 2023 to 2027.

Serving 5 countries – Bangladesh, Cambodia, Indonesia, Philippines, and Viet Nam, the Programme supports access to technologies for decarbonization, enhance resilience and increase access to climate finance using a gender-responsive and human rights-based approach.

To that end, we are seeking the support from Online Volunteers in data gathering and analysis through this virtual assignment. This assignment will support the analysis of qualitative/quantitative data on digital innovation for energy transition and climate resilience building that will contribute towards EmPower’s implementation.

Online volunteers will also receive feedback on their quality of work, a certificate of appreciation upon successful completion of the assignment, and will be given credit of support where applicable.

UNEP under the EmPower Programme is looking for an Online Volunteer who under the guidance of the Programme Management Officer and in close collaboration with the Project Coordinator supports in conducting a secondary search and qualitative/quantitative data analysis on the possible entry points and linkages between digital technologies & innovations with energy transition and climate resilience building for women and marginalized communities.

The Online Volunteer will be responsible for: - Secondary search and data analysis - Analyze data and identify relevant trends, patterns, and key findings - Identify the entry points for digital technologies in energy transition and climate resilience building, specifically at the local level - Develop a report, and a presentation according to the agreed reporting plan, including visualization and narrative interpretations of findings as required

The Online Volunteer will be guided in task and if possible, she/he will be provided with datasets to conduct the analysis. The Online Volunteer is required to update on the progress during regular calls.

Candidates should have advanced computer skills and proficiency in analytical software (e.g., Excel, SPSS, SATA etc.). Strong analytical and writing skills as well as the ability to provide and present data in a concise manner are required. Candidate should have a basic knowledge on climate change, digital technologies and energy transition

A degree in data analytics, mathematics, statistics, or other related fields is considered an asset.

Potential interview questions

Describe a time you successfully analyzed data to identify a trend. This question assesses your analytical skills and ability to derive insights from data. Provide details on the data you worked with, the trend you identified, and how it influenced your decision making.
How do you ensure the accuracy of your data analysis? The interviewer wants to know your approach to maintaining data integrity. Pro members can see the explanation.
Can you describe your experience with qualitative and quantitative analysis? Pro members can see the explanation. Pro members can see the explanation.
What steps do you take to present data findings effectively? Pro members can see the explanation. Pro members can see the explanation.
Give an example of how you've used digital technologies to enhance your work. Pro members can see the explanation. Pro members can see the explanation.
Added 2 years ago - Updated 1 year ago - Source: unv.org