Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects for data-driven solutions to address emerging construction challenges and enhance performance across project life cycles are therefore constrained. Through mixed-method research utilizing a survey and focus group, this study investigates the knowledge and skills required for graduating construction engineering and management students to implement sensor data analytics in the construction sector. The findings revealed that sensor data analytics knowledge and skills are required to systemically process and analyze data from sensing technologies and present them in formats for effective decision-making. The presented key knowledge areas, specific skills, and their significance can aid the construction industry and academics to streamline professional development efforts to match the actual demands, allowing for more efficacy in workforce training. The future construction workforce is expected to gain a competitive edge with sensor data analytics knowledge and skills as the ubiquitous integration of sensing technologies continues to drive the tremendous growth of sensor data.