Abstract
This chapter contributes to the current debate on how to overcome the skill shortage that characterizes the demand of big data professions in the labor market. If the technical competencies expected for these responsibilities have been defined, their behavioral skills are still under-explored. The chapter addresses this void through an exploratory study providing empirical evidence collected through the Behavioral Event Interview (BEI) technique. Drawing on an Italian sample of data scientists and data analysts, the study provides a description of the competency portfolio manifested by the two professional roles. The results show that both data scientists and data analysts manifest a wide repertoire of behavioral competencies that are needed to attain successful performance and to face the challenges of the digital transformation.
What makes analytical organizations so interesting, in our view, is the needed combination of human and computational perspectives. Analytical decision-making is at the intersection of individual and organizational capabilities.
(Davenport et al. 2010: 17)
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References
Aasheim, C., Shropshire, J., Li, L., & Kadlec, C. (2012). Knowledge and skill requirements for entry-level IT workers: A longitudinal study. Journal of Information Systems Education, 23, 193–204.
Boyatzis, R. (1982). The competent manager: A model for effective performance. New York: Wiley Interscience.
Boyatzis, R. E. (1998). Transforming qualitative information: Thematic analysis and code development. Thousand Oaks: Sage.
Boyatzis, R. E. (2006). An overview of intentional change from a complexity perspective. Journal of Management Development, 25(7), 607–623.
Boyatzis, R. E. (2008). Competencies in the 21st century. Journal of Management Development, 27(1), 5–12.
Boyatzis, R. E. (2009). Competencies as a behavioral approach to emotional intelligence. Journal of Management Development, 28(9), 749–770.
Boyatzis, R. E., & Ratti, F. (2009). Emotional, social and cognitive intelligence competencies distinguishing effective Italian managers and leaders in a private company and cooperatives. Journal of Management Development, 28(9), 821–838.
Boyatzis, R. E., & Sala, F. (2004). Assessing emotional intelligence competencies. In G. Geher (Ed.), The Measurement of Emotional Intelligence (pp. 147–180). Novas: Hauppauge, Science Publishers.
Costa, C., & Santos, M. Y. (2017). The data scientist profile and its representativeness in the European e-competency framework and the skills framework for the information age. International Journal of Information Management, 37(6), 726–734.
Davenport, T. H., & Patil, D. J. (2012). Data scientist: The sexiest job of the 21st century. Harvard Business Review, 90(October 2012), 70–76.
Davenport, T. H., Harris, J. G., & Morison, R. (2010). Analytics at work: Smarter decisions, better results. Boston, MA: Harvard Business Review Press.
De Mauro, A., Greco, M. Grimaldi, M., and Nobili, G. (2016, June 15–17). Beyond data scientists: A review of big data skills and job families. International Forum on Knowledge Asset Dynamics 11th, Proceedings of IFKAD, 2016, Towards a New Architecture of Knowledge: Big Data Culture and Creativity, Dresden (1844–1857).
Di Deo, I. (2019). Data Analyst: chi è, cosa fa e quanto guadagna un analista dei dati. Retrieved July 1, 2019, https://blog.osservatori.net/it_it/data-analyst-cosa-fa-stipendio
Druskat, V. U., Mount, G., & Sala, F. (2013). Linking emotional intelligence and performance at work: Current research evidence with individuals and groups. New York: Psychology Press.
Emmerling, R. J., & Boyatzis, R. E. (2012). Emotional and social intelligence competencies: Cross cultural implications. Cross Cultural Management: An International Journal, 19(1), 4–18.
Flanagan, J. C. (1954). The critical incident technique. Psychological Bulletin, 51(4), 327–358.
Goleman, D. (1998). Working with emotional intelligence. New York: Bantam Books.
Goleman, D., Boyatzis, R., & McKee, A. (2002). Primal leadership: Realizing the power of emotional intelligence. Boston, MA: Harvard Business School Press.
Gorman, J. C., Dunbar, T. A., Grimm, D., & Gipson, C. L. (2017). Understanding and modeling teams as dynamical systems. Frontiers of Psychology, 8, 1053.
Harris, J. G., & Mehrotra, V. (2014). Getting value from your data scientists. MIT Sloan Management Review, 56(1), 15–18.
Hopkins, M. M., O’Neil, D. A., & Stoller, J. K. (2015). Distinguishing competencies of effective physician leaders. Journal of Management Development, 34(5), 566–584.
Istat. (2018). Indicatori Industria 4.0-Fattori di digitalizzazione, Istituto Nazionale di Statistica, http://dati.istat.it. Accessed 1 May 2017.
Joseph, D., Ang, S., Chang, R. H. L., & Slaughter, S. (2010). Practical intelligence in IT: Assessing soft skills of IT professionals. Communications of the ACM, 53(2), 149–154.
King, J., & Magoulas, R. (2016). 2016 Data science salary survey tools, trends, what pays (and what doesn’t) for data professionals. Sebastopol: O’Reilly Media.
McClelland, D. C. (1973). Testing for competency rather than for ‘intelligence’. American Psychologist, 28, 1–14.
McClelland, D. C. (1998). Identifying competencies with behavioural-event interviews. Psychological Science, 9, 331–339.
O’Boyle, E. H., Jr., Humphrey, R. H., Pollack, J. M., Hawver, T. H., & Story, P. A. (2011). The relation between emotional intelligence and job performance: A meta-analysis. Journal of Organizational Behavior, 32, 788–818.
Ryan, G., Emmerling, R. J., & Spencer, L. M. (2009). Distinguishing high-performing European executives. Journal of Management Development, 28(9), 859–875.
Scapolan, A., Montanari, F., Bonesso, S., Gerli, F., & Mizzau, L. (2017). Behavioural competencies and organizational performance in Italian performing arts. Academia Revista Latinoamericana de Administración, 30(2), 192–214.
Shirani, A. (2016). Identifying data science and analytics competencies based on industry demand. Issues in Information Systems, 17(4), 137–144.
Spencer, L. M. (2001). The economic value of emotional intelligence competencies and EIC-based HR programs. In C. Cherniss, R. E. Boyatzis, & M. Elias (Eds.), Emotionally intelligent workplace (pp. 45–82). San Francisco: The Jossey-Bass Wiley Company.
Spencer, L. M., & Spencer, S. M. (1993). Competency at work. Models for superior performance. New York: John Wiley & Sons.
Spencer, L. M., Ryan, G., & Bernhard, U. (2008). Cross-cultural competencies in a major multinational industrial firm. In R. J. Emmerling, V. Shanwal, & M. Mandal (Eds.), Emotional intelligence: Theoretical and cultural perspectives (pp. 191–208). New York: Nova Science.
Stubbs Koman, E., & Wolff, S. B. (2008). Emotional intelligence competencies in the team and team leader. Journal of Management Development, 27(1), 55–75.
Suda, B. (2018). 2017 data science salary survey. Sebastopol: O’Reilly Media.
Truninger, M., Fernández-i-Marín, X., Batista-Foguet, J. M., Boyatzis, R. E., & Serlavós, R. (2018). The power of EI competencies over intelligence and individual performance: A task-dependent model. Frontiers of Psychology, 9, 1532.
Vercellis, C. (2018). Big Data Analytics in Italia: un mercato in evoluzione. Retrieved July 1, 2019, https://blog.osservatori.net/it_it/mercato-big-data-analytics-in-italia
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Bonesso, S., Bruni, E., Gerli, F. (2020). When Hard Skills Are Not Enough: Behavioral Competencies of Data Scientists and Data Analysts. In: Behavioral Competencies of Digital Professionals. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-33578-6_4
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DOI: https://doi.org/10.1007/978-3-030-33578-6_4
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