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Human resources for Big Data professions: A systematic classification of job roles and required skill sets

De Mauro, Andrea; Greco, Marco; Grimaldi, Michele; Ritala, Paavo (2017-06-08)

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de_mauro_et_al_human_resources_final_draft.pdf (833.0Kb)
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Post-print / Final draft

De Mauro, Andrea
Greco, Marco
Grimaldi, Michele
Ritala, Paavo
08.06.2017

Information Processing and Management

54

5

807-817

Elsevier

School of Business and Management

https://doi.org/10.1016/j.ipm.2017.05.004
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Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe2018113049556

Tiivistelmä

The rapid expansion of Big Data Analytics is forcing companies to rethink their Human Resource (HR) needs. However, at the same time, it is unclear which types of job roles and skills constitute this area. To this end, this study pursues to drive clarity across the heterogeneous nature of skills required in Big Data professions, by analyzing a large amount of real-world job posts published online. More precisely we: 1) identify four Big Data ‘job families’; 2) recognize nine homogeneous groups of Big Data skills (skill sets) that are being demanded by companies; 3) characterize each job family with the appropriate level of competence required within each Big Data skill set. We propose a novel, semi-automated, fully replicable, analytical methodology based on a combination of machine learning algorithms and expert judgement. Our analysis leverages a significant amount of online job posts, obtained through web scraping, to generate an intelligible classification of job roles and skill sets. The results can support business leaders and HR managers in establishing clear strategies for the acquisition and the development of the right skills needed to leverage Big Data at best. Moreover, the structured classification of job families and skill sets will help establish a common dictionary to be used by HR recruiters and education providers, so that supply and demand can more effectively meet in the job marketplace.

Lähdeviite

De Mauro, A., Greco, M., Grimaldi, M., Ritala, P. (2018). Human resources for Big Data professions: A systematic classification of job roles and required skill sets. Information Processing and Management. Volume 54, Issue 5. Pp. 207-817. DOI: 10.1016/j.ipm.2017.05.004

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