Paper Number
ECIS2026-1110
Paper Type
CRP
Abstract
The growing demand for data & analytics professionals raises questions about how competency requirements differ across organizational contexts. Small and medium-sized enterprises (SMEs) face resource constraints, limited infrastructure, and talent shortages, while large firms can invest in specialized teams and advanced technologies. This study examines how these differences shape the way competencies are defined and communicated in job postings. A body of 790,840 postings is processed using text mining, identifying 31 competencies for SMEs and 34 for large enterprises. These competencies were categorized into technical, business, data & analytics, and interpersonal domains. The results reveal that SMEs emphasize versatile, cross-functional profiles integrating support and client engagement, whereas large enterprises prioritize specialized skills in areas such as cloud infrastructure and governance. The study contributes an empirical mapping of competency requirements across firm sizes and provides guidance for SMEs and job seekers on aligning workforce development with organizational context and technological trends.
Recommended Citation
Langer, Benedict, "Mining Key Competencies For Data & Analytics Roles: Insights For Smes and Applicants" (2026). ECIS 2026 Proceedings. 1.
https://aisel.aisnet.org/ecis2026/comp_mgmt/comp_mgmt/1
Mining Key Competencies For Data & Analytics Roles: Insights For Smes and Applicants
The growing demand for data & analytics professionals raises questions about how competency requirements differ across organizational contexts. Small and medium-sized enterprises (SMEs) face resource constraints, limited infrastructure, and talent shortages, while large firms can invest in specialized teams and advanced technologies. This study examines how these differences shape the way competencies are defined and communicated in job postings. A body of 790,840 postings is processed using text mining, identifying 31 competencies for SMEs and 34 for large enterprises. These competencies were categorized into technical, business, data & analytics, and interpersonal domains. The results reveal that SMEs emphasize versatile, cross-functional profiles integrating support and client engagement, whereas large enterprises prioritize specialized skills in areas such as cloud infrastructure and governance. The study contributes an empirical mapping of competency requirements across firm sizes and provides guidance for SMEs and job seekers on aligning workforce development with organizational context and technological trends.
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