Company Overview

MS Ramaiah Developers & Builders, since its inception in 1992, has developed over 27 million sq. ft. of real estate encompassing residential, commercial, retail, and hospitality landmarks that have significantly transformed the skyline of Bengaluru city. Renowned for dedication to excellence and collaborating with Fortune 500 companies, our landmark projects like MSR North Towers and Helios Business Park reflect our expertise in creating LEED-certified transformative workspaces that blend innovative design with cutting-edge technology to boost productivity and creativity. Experience the future of work with us at https://msrdb.com/. Headquartered in Bengaluru, we belong to the Real Estate industry and employ 11-50 dedicated professionals.

Job Overview

MS Ramaiah Developers & Builders is seeking a Junior Commercial Sales Leasing professional to join our dynamic team in Bengaluru. This is a full-time position ideal for candidates with 1 to 3 years of relevant work experience. The successful candidate will play a crucial role in leasing our commercial spaces, contributing directly to the company's growth and reputation for excellence.

Qualifications and Skills

• Proficient in statistical analysis (Mandatory skill)
• Experience with machine learning techniques for predictive analytics
• Competency in data visualization tools to present data insights effectively
• Experience in developing predictive models to forecast leasing trends
• Knowledge of data mining techniques to discover patterns in leasing data

Roles and Responsibilities

• Identify and analyze market trends to develop effective leasing strategies
• Collaborate with property management teams to optimize space utilization
• Negotiate leasing terms and conditions with prospective tenants
• Prepare and present detailed leasing proposals to potential clients
• Maintain up-to-date knowledge of local commercial real estate markets
• Create reports and visualizations to track leasing performance and trends
• Utilize statistical analysis and predictive modeling to inform leasing decisions
• Engage with stakeholders to understand their workspace requirements