Data Analyst

Air Quality Life Index (AQLI)

The Air Quality Life Index (AQLI) is a well-known program that provides detailed information on how air pollution affects life expectancy in 252 countries and territories. They create annual reports on global air quality, offer region-specific analyses, maintain an interactive website, engage with communities both online and in person, and share their data openly on GitHub.

About The Role

Location: This is a remote position, but the candidate should be willing to travel up to 20% of their time to attend any in-person meetings with the AQLI team based in Delhi.

Application Deadline: 28 February 2025

Key Responsibilities:

Process raw satellite data into usable formats and perform necessary calculations.
Maintain and update data on AQLI’s public GitHub repository.
Conduct analyses and create visuals for the annual report and other outreach activities.
Write descriptions of methods and results from analyses.
Occasionally travel to present AQLI findings.
Assist with data collection, cleaning, preliminary analysis, and preparation of materials for sharing.
Work with external partners, especially website developers, to improve the AQLI platform.
Handle other project-related tasks as needed.

Qualifications:

Education: Bachelor’s degree in Economics, Statistics, Data Science, or a related field.
Experience: At least 2 years of experience analyzing geospatial datasets using R or Python in an open-source environment. Experience with air quality datasets is preferred.
Skills: Proficiency in R, Python, or STATA; experience with geospatial datasets and database management; familiarity with open-source projects and GitHub; ability to explore data and identify relevant questions; self-motivated, detail-oriented, and able to manage multiple tasks; strong team player with good communication skills; strong technical writing and presentation skills; awareness of air pollution scientific terms is a plus.