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Big Data Intelligence on Skills Demand and Training in Umbria

image of Big Data Intelligence on Skills Demand and Training in Umbria

The COVID-19 pandemic had a severe impact on the Umbrian economy, and despite recovery of labour demand, the region faces challenges related to digitalisation, tight labour markets, and volatile demand for low-skilled jobs. To address these issues, the OECD and the Umbrian regional agency for active labour market policies (ARPAL) have collaborated to investigate the labour and skills demand of the region using big data techniques applied to online job postings. This report provides new insights into the alignment between labour and skills demand and the training options available in the training and education programmes contained in the Umbrian Regional Training Catalogue. This report builds new indicators to measure the alignment of course content with employer demands in Umbria, with results showing that alignment is relatively good for some occupations but that this can be strengthened to provide job seekers with up-to-date training options that match the demand of the labour market.

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Analysis of online job postings in the Umbria region

This chapter analyses the demand for labour in Umbria in between January 2018 and June of 2022 as measured by online job postings (OJPs). The analysis examines both long-term trends in demand, caused by factors such as digitalisation and sudden shifts due to the COVID-19 crisis in 2020. The chapter identifies high-demand and rapid-growth occupations and examines their characteristics using information contained in the requirements mentioned in OJPs. In particular, the analysis presents job characteristics such as educational and experiential requirements, as well as the types of contracts offered in job postings. Lastly, the chapter combines online job postings data with employment data obtained from the Labour Force Survey, to compare the prevalence of OJPs with that of employment figures and provide insight into labour shortages.

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