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Job Market Skill Trends Using NLP: Analyzing Data & Analytics Role Requirements

Year: 2026

Type: article

Abstract: This research analyzes job market skill trends across Data Analyst, Data Scientist, Machine Learning Engineer, and Business Analyst roles using Natural Language Processing (NLP). The study applies text preprocessing, TF-IDF, n-gram modeling, and Latent Dirichlet Allocation (LDA) to uncover in-demand skills, recurring themes, and role-specific competencies. It includes a curated dataset, Python analysis notebook, visualizations, and a full research paper. The findings provide practical insights for students and early-career professionals navigating the data science job market.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18420196

Author: Dhaka, Muskan

Institution: Rowan University

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: green

OpenAlex ID: W7126019756

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