Investigation of Essential Skills for Data Analysts

Zhang, Jin; Le, Taowen; Chen, Jianrui

doi:10.4018/jgim.326548

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Some studies have categorized data science skills. According to LinkedIn, Zhang and Chen identified the five most essential areas of technical skill: text analysis, information visualization, statistical analysis, database management, and programming [14]. Gurcan and Cagiltay outlines ten competencies for Big Data Software Engineering and analyzed the most in-demand tools, programming languages, programming tools, databases, data warehouses, and big data tools [15].…”

Section: A Big Data Skill Setsmentioning

confidence: 99%

Analyzing Big Data Professionals: Cultivating Holistic Skills Through University Education and Market Demands

Han,

Ren

2024

IEEE Access

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This study investigates the alignment between the education of big data professionals in universities and the requirements of the labor market. Through the examination of data extracted from Chinese job advertisements, this study explores the multifaceted skill set sought by employers in the big data domain, with an emphasis on achieving a harmonious equilibrium between technical ("hard") and soft skills. Employers expect a high level of proficiency in data processing and analysis coupled with capabilities in teamwork, communication, and leadership. The dynamic nature of big data, characterized by rapid technological advancements, underscores the importance of continuous learning. The demand for big data talent has various roles, including big data scientists, engineers, and workers, thus contributing to a diverse and competitive job market. Recognizing the potential gap between university education and the dynamic requirements of the job market, this study advocates the integration of practical skills with theoretical knowledge. It proposes that universities assert their autonomy in curriculum design while concurrently engaging with alumni and industry partners to afford students' real-world experiences. In conclusion, this study underscores the significance of cultivating a sustainable talent development system. This encourages a curriculum that adeptly balances timeliness and innovation, producing graduates armed with contemporary tools and a comprehensive understanding of data science principles. This approach fosters versatile professionals capable of effectively addressing the myriad challenges within the diverse landscapes of the industry.

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Section: A Big Data Skill Setsmentioning

confidence: 99%

Analyzing Big Data Professionals: Cultivating Holistic Skills Through University Education and Market Demands

Han,

Ren

2024

IEEE Access

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Skill analysis of library and information science professionals

Zhang,

Chen

2023

Journal of Librarianship and Information Science

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This paper investigated professional skills for library and information science (LIS) professionals based on the American Library Association (ALA) job website. The study identified job categories and library types, examined required soft skills and professional skills, and analyzed the relationships between professional skills and job categories, and the relationships between professional skills and library types as well. Data mining, subject analysis, and information visualization methods were used in the study. The findings of this study show that the LIS field demands a wide range of comprehensive professional skills. In total, over 160 distinct professional skill requirements and 24 skill themes were uncovered. Across various LIS job categories, an average of 8.84 professional skill themes per job category was found to be necessary for success. Among these skill themes, certain ones stood out as particularly in-demand, including: Productivity Software, MARC Standards and Guidance, Integrated Library Automation, Programming, and Data Analysis. Furthermore, it was observed that the specific professional skill requirements varied across different types of libraries. Notably, Academic/Research (College/University) libraries and Public Libraries stood out as two types that demanded a broader range of professional skill themes compared to other types of libraries. The findings of this research study can inform library and information science researchers, educators, and professionals to better understand the LIS professional skill requirements, improve existing curricular systems, and develop new courses to meet the job market needs.

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Tools for Success: Their Impact on Salaries in the Data Analytics Job Market

Hartzel,

Ozturk

2024

JISAR

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Investigation of Essential Skills for Data Analysts

Cited by 3 publications

References 32 publications

Analyzing Big Data Professionals: Cultivating Holistic Skills Through University Education and Market Demands

Analyzing Big Data Professionals: Cultivating Holistic Skills Through University Education and Market Demands

Skill analysis of library and information science professionals

Tools for Success: Their Impact on Salaries in the Data Analytics Job Market

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