新工科下大数据人才岗位需求与任职能力分析——以新兴产业为例  

Analysis of Job Requirements and Competence Tenure for Big Data Professionals within the New Engineering Context:Insights from Emerging Industries

作　　者：叶仁道[1] 李文倩 卢毅 YE Rendao;LI Wenqian;LU Yi(School of Economics,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China)

机构地区：[1]杭州电子科技大学经济学院,浙江杭州310018

出　　处：《杭州电子科技大学学报（社会科学版）》2024年第2期60-71,共12页Journal of Hangzhou Dianzi University：Social Sciences

基　　金：浙江省“十四五”教学改革项目(jg20220212)。

摘　　要：新兴产业的快速发展推动了新工科建设,显著增加了对大数据类专业人才的需求,因此亟需对市场需求现状及其发展趋势进行深入研究。文章基于新兴产业中大数据类专业岗位的招聘信息,采用文本分词和统计方法识别出各专业的热门职位,并利用LDA主题模型获取岗位详情的关键信息,从而揭示人才岗位的具体需求。进一步,应用TF-IDF方法提取岗位的技能关键词,发现岗位更重视数据分析、SQL查询和Python编程等技能。在此基础上,利用社会网络分析法对岗位、新兴产业和技能的共现关系进行分析。结果表明,数据分析、BI工具应用和Java编程等技能与不同岗位均有较高的共现频率,而新兴产业对多样化技能组合具有更高需求。最后,文章对大数据类专业人才培养提出有针对性的优化建议,如加强产教融合、深化校企合作、强化大数据技能等,为新兴产业的持续发展和技术创新提供智力支持。The swift expansion of emerging industries has accelerated the evolution of new engineering disciplines,leading to a significant surge in demand for big data professionals.This underscores the pressing need for an in-depth analysis of market demand and its developmental trajectory.Utilizing recruitment data for big data roles within emerging industries,this study employs text segmentation and statistical analysis to discern prevalent job positions across various professions.The LDA(Latent Dirichlet Allocation)topic model is then engaged to extract pivotal information from job postings,elucidating the specific demands of these talent roles.Subsequently,the TF-IDF(Term Frequency-Inverse Document Frequency)technique is applied to isolate key skill sets sought after for these positions,with a particular emphasis on competencies such as data analysis,SQL querying,and Python programming.Building upon these insights,social network analysis is conducted to examine the co-occurrence of job roles,industries,and skills.The findings indicate that certain skills,including data analysis,BI(Business Intelligence)tool application,and Java programming,are frequently co-occurrent with various job positions.Moreover,there is an evident heightened demand in emerging industries for a diverse array of skill sets.The paper concludes with strategic recommendations for nurturing big data professionals.These include enhancing the convergence of industry and academia,fortifying school-enterprise collaboration,and bolstering expertise in big data to furnish the intellectual underpinning for the sustainable growth and technological advancement of emerging industries.

关 键 词：新工科 大数据类专业人才 岗位需求 任职能力 新兴产业 

分 类 号：G646[文化科学—高等教育学]