Businesses constantly strive to build organizational capacity to use data strategically. As a result, there is a growing demand for business analytics professionals. While higher education systems worldwide have been adapting to build competencies, they must meet employees' expectations. Curriculum design for delivering business analytics competencies remains a challenge due to the rapidly evolving nature of business analytics as a discipline. The paper aims to decode the industry expectations for the Business Analytics profile. This study investigates the skills employers value by analyzing job descriptions. We use a text-mining approach to understand the weightage of different skills and mine skill clusters within business analytics roles. The core skill clusters are hard skills related to Big data, Business Intelligence, and analytical techniques. Results also suggest that traditional machine learning (ML) skills, typically expected in a data science profile, are also being sought after in a business analytics role. Surprisingly soft communication and stakeholder management skills are also emerging as essential skills for business analytics roles. This study provides a better understanding by investigating the interplay between the demand for skills in the job market and curriculum development.

企业不断努力建设战略性使用数据的组织能力。因此，对业务分析专业人员的需求不断增长。虽然世界各地的高等教育系统一直在努力培养能力，但它们必须满足员工的期望。由于商业分析作为一门学科的快速发展性质，提供商业分析能力的课程设计仍然是一个挑战。本文旨在解读行业对业务分析概况的期望。本研究通过分析工作描述来调查雇主看重的技能。我们使用文本挖掘方法来了解业务分析角色中不同技能和挖掘技能集群的权重。核心技能群是与大数据、商业智能和分析技术相关的硬技能。研究结果还表明，数据科学领域通常需要的传统机器学习 (ML) 技能，在业务分析职位中也受到追捧。令人惊讶的是，软沟通和利益相关者管理技能也正在成为业务分析角色的基本技能。本研究通过调查就业市场技能需求与课程开发之间的相互作用，提供了更好的理解。