Monitoring and analyzing diseases and climate disasters in the Asia-Pacific

Assist in visualizing diseases and climate disasters data.

This opening expired 5 years ago. Do not try to apply for this job.

ReliefWeb

Open positions at ReliefWeb

Home-based;

Volunteering IT & Telecom Information Management

Application deadline 5 years ago: Wednesday 9 Dec 2020 at 02:00 UTC

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Overview

Assist in visualizing diseases and climate disasters data.

You have:

Proficiency in R programming for data analysis.
Experience in data visualization using Tableau or Power Bi.
Knowledge of web scraping techniques for data extraction.
Ability to research and analyze new data sources.
Basic understanding of HTML and CSS3.

Contract

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Details

We would like to incorporate an Online Volunteer to help us with the visualization of major diseases and climate disasters in the Asia-Pacific region using tools such as Tableau or PowerBi. For this purpose the Online Volunteer will need to do some research of new sources and or the code improvement to extract the data through R/R Studio.

Research
Database design, administration and maintenance

At Relief Web we are monitoring and analyzing major diseases and climate disasters in the Asia-Pacific region. We would like to incorporate an Online Volunteer to help in the research of new sources and or the code improvement to extract the data and create the reports. We also would like to start to create visualizations using tools as Tableau or Power Bi.
Volunteers: 1 needed
1-5 hours per week / 4 weeks

Proficiency in R, Web Scraping and automation techniques, with knowledge of HTLM and CSS3 and or Data Visualization with Power Bi or Tableau.
Asia
English

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Potential interview questions

Can you describe your experience with data visualization tools such as Tableau or Power Bi?	This question assesses your practical knowledge and experience with essential tools for the role.	Provide specific examples of projects where you used these tools to visualize data.
What web scraping techniques have you used in your past work or projects?	The interviewer wants to understand your familiarity with data extraction methods.	Pro members can see the explanation.
How do you approach researching new data sources for projects?	Pro members can see the explanation.	Pro members can see the explanation.
Tell us about a time you improved data extraction code. What was the challenge and outcome?	Pro members can see the explanation.	Pro members can see the explanation.
What challenges do you face when working with datasets in R?	Pro members can see the explanation.	Pro members can see the explanation.