Canadian jobs amid a pandemic: examining the relationship between professional industry and salary to regional key performance indicators

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Abstract
  • The COVID-19 pandemic has contributed to massive
    rates of unemployment and greater uncertainty in the job market.
    There is a growing need for data-driven tools and analyses
    to better inform the public on trends within the job market.
    In particular, obtaining a “snapshot” of available employment
    opportunities mid-pandemic promises insights to inform policy
    and support retraining programs. In this work, we combine data
    scraped from the Canadian Job Bank and Numbeo globally
    crowd-sourced repository to explore the relationship between
    job postings during a global pandemic and Key Performance
    Indicators (e.g. quality of life index, cost of living) for major
    cities across Canada. This analysis aims to help Canadians make
    informed career decisions, collect a “snapshot” of the Canadian
    employment opportunities amid a pandemic, and inform job
    seekers in identifying the correct fit between the desired lifestyle
    of a city and their career. We collected a new high-quality
    dataset of job postings from jobbank.gc.ca obtained with the
    use of ethical web scraping and performed exploratory data
    analysis on this dataset to identify job opportunity trends. When
    optimizing for average salary of job openings with quality of life,
    affordability, cost of living, and traffic indices, it was found that
    Edmonton, AB consistently scores higher than the mean, and is
    therefore an attractive place to move. Furthermore, we identified
    optimal provinces to relocate to with respect to individual skill
    levels. It was determined that Ajax, Marathon, and Chapleau,
    ON are each attractive cities for IT professionals, construction
    workers, and healthcare workers respectively when maximizing
    average salary. Finally, we publicly release our scraped dataset as
    a mid-pandemic snapshot of Canadian employment opportunities
    and present a public web application that provides an interactive
    visual interface that summarizes our findings for the general
    public and the broader research community.

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Citation
  • Anilkumar, Rahul, Melone, Benjamin, Patsula, Michael, Tran, Christopher, Wang, Christopher, Dick, Kevin, … Wainer, G.A. (2022). Canadian jobs amid a pandemic : examining the relationship between professional industry and salary to regional key performance indicators. Department of Systems and Computer Engineering. doi:10.22215/DSCE/220608
Date Created
  • 2022-06-08

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