Exploratory analysis on data analytics careers: Current trends, prospects and challenges
DOI:
https://doi.org/10.15282/jgi.9.1.2026.11274Keywords:
Data Analytics, Gap, Big Data Analytics, Skills, CareerAbstract
The data analytics field has experienced exponential growth in recent years, driven by rapid technological advancements across multiple industries. However, a persistent gap remains between industry skill requirements and the availability of qualified talent. This study examines current trends in data analytics careers, evaluates future market demand, and identifies key factors influencing career prospects, including technical skill requirements, emerging technologies, and barriers facing entry-level professionals. Employing a descriptive research design, secondary data were gathered and analysed from peer-reviewed academic literature, industry benchmarks, and aggregated job-posting metrics from platforms such as LinkedIn. The findings indicate sustained demand for data analytics professionals, with employers increasingly prioritising a blend of technical competencies and essential soft skills. Primary industry challenges include escalating data complexity, ethical concerns surrounding data governance, and rapid technological turnover that accelerates skill obsolescence. Ultimately, this study underscores the need for continuous upskilling, industry-aligned curricula, and technological adaptability to support sustainable career trajectories in data analytics.
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