Data analytics and remote sensing have advanced sustainable development by providing critical insights into environmental, social, and economic systems. The integration of data analytics with remote sensing technologies enables the efficient monitoring and management of natural resources, climate change, and urban development. The stakeholders make informed decisions to promote sustainability and resilience with the use of satellite imagery, sensor networks, and advanced data processing techniques. This work reports the role of data analytics and remote sensing in achieving sustainable development goals and highlights key applications like agricultural optimization, disaster management, and environmental conservation. It emphasizes the importance of interdisciplinary collaboration and innovative approaches in harnessing these technologies to create a more sustainable and equitable future.