Turkey labour market: Real-time data collection and insights

Still there is a conventional approach to collect data on dynamics of the labour market such as salaries variation, supply and demand, mobility or insights of educational needs and knowledge workers. This traditional method of survey analysis is not sufficient and can mislead the reality as we are in an era of exponentially increasing data. The main contribution of this thesis aims to propose methodology of data collection in real time, data patterns and architecture to deal with day-to-day labour market variation in Turkey. During 1 year of regular data collection, 314,000 open job positions in 2760 different occupations are classified in terms of pay gap, education surplus and shortage, and velocity of market. The results shows that Turkey's labour market undergoes an increasing shift specially after the Covid-19 effect in terms of skilled based economy, digital transformation, and payroll distribution index in the upcoming years.