The global workforce is undergoing rapid evolution. Current data-driven research into worldwide employment trends thus has become a pressing need. The objective of the present study was to conduct a comprehensive analysis of job advertisements and salary trends by reviewing 999 job records collected from 213 countries; these included a total of 13 data points. As part of its analytic process, the present study utilized a data preprocessing pipeline that involved the passing of data through multiple stages – data cleansing, data type conversion, aggregation, data partitioning, normalization, etc., prior to submission to various data visualisation techniques; these included bar charts, histograms, box plots, scatter plots, correlation heat maps, skills frequency heat maps, pie charts, violin plots, and choropleth maps. Among the most significant findings of the present study were the following: job advertisements show evidence of consistent salary levels based on both level of education and type of job; however, geographic region and industry sector appear to play an important role in determining salary levels. Additionally, the study concluded that the most common skills necessary for attaining such salaries are as follows: management skills; analytical skills; design skills; communication skills; and technical/data oriented skills. Consequently, the authors propose a framework that can be used to better understand the trends of employment and provide actionable insights into the employment market.
Harivarshini et al. (Thu,) studied this question.