Workforce analytics has grown dramatically as an integral practice among organisations to improve their effectiveness and secure the necessary competitive advantage. It has the potential to transform the business practices and provide insights that can lead to making effective decisions. Workforce analytics involves the use of appropriate technologies like AI, ML and DS for the analysis of work-related data in order to optimise the human resource practices. Hence, this particular field has become of great interest to scholars and researchers considering the growing importance of effective HRM and advancement being made in the field of technology. A large amount of research has been done on the subject to provide the required insights into relationships between AI, ML and DS powered HR analytics and organisational effectiveness. The purpose of this article is to review the theories, models and findings associated with the AI, ML and DS powered workforce analytics in relation to organisational effectiveness. A systematic review of peer-reviewed articles from 2018-2023 has been done to address the purpose.