Towards a Sustainable Workforce in Big Data Analytics: Skill Requirements Analysis from Online Job Postings Using Neural Topic Modeling

Fatih Gurcan, Ahmet Soylu and Akif Quddus Khan ()
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Fatih Gurcan: Department of Management Information Systems, Karadeniz Technical University, 61080 Trabzon, Turkey
Ahmet Soylu: School of Economics, Innovation, and Technology, Kristiania University of Applied Sciences, 0107 Oslo, Norway
Akif Quddus Khan: Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway

Sustainability, 2025, vol. 17, issue 20, 1-24

Abstract: Big data analytics has become a cornerstone of modern industries, driving advancements in business intelligence, competitive intelligence, and data-driven decision-making. This study applies Neural Topic Modeling (NTM) using the BERTopic framework and N-gram-based textual content analysis to examine job postings related to big data analytics in real-world contexts. A structured analytical process was conducted to derive meaningful insights into workforce trends and skill demands in the big data analytics domain. First, expertise roles and tasks were identified by analyzing job titles and responsibilities. Next, key competencies were categorized into analytical, technical, developer, and soft skills and mapped to corresponding roles. Workforce characteristics such as job types, education levels, and experience requirements were examined to understand hiring patterns. In addition, essential tasks, tools, and frameworks in big data analytics were identified, providing insights into critical technical proficiencies. The findings show that big data analytics requires expertise in data engineering, machine learning, cloud computing, and AI-driven automation. They also emphasize the importance of continuous learning and skill development to sustain a future-ready workforce. By connecting academia and industry, this study provides valuable implications for educators, policymakers, and corporate leaders seeking to strengthen workforce sustainability in the era of big data analytics.

Keywords: big data analytics; sustainable workforce trends; neural topic modeling; job market analysis; skill mapping; text mining (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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