Key Skills

Job Description

Do you want to explore the real estate investment world and participate in sustainable real estate investments? Then this Research & Intelligence internship at a.s.r. real estate is for you! During this internship, you will conduct varied and data-driven market research into different real estate sectors, such as science parks or international real estate. You will also work on investment proposals, sustainability issues, real estate forecasts, quarterly reports and geographical analyses, for example in GIS. Your analyses and advice help us to better identify the opportunities and risks of various real estate investments. You will receive good guidance from an internship supervisor and other colleagues. Are you interested in this internship? Come grow at a.s.r. real estate! This is what you will do during your Real Estate Internship Data & Research at a.s.r. you will work on and/or do a graduation project with a leading and data-driven Research Team You will gain experience in market research on various real estate sectors You think along about sustainability issues You identify the opportunities and risks of investments You’re the perfect match, because you is following a college or university degree in Real Estate Economics, Economic Geography, Data Science & Business Analytics or a related study have knowledge of Microsoft Office, especially Excel, and preferably experience with GIS systems such as ArcGIS from ESRI are curious, enthusiastic and data-minded preferably have experience in quantitative methods, data science techniques and real estate research

Core Responsibilities

Conduct data-driven market research across real estate sectors, including science parks and international real estate. Contribute to investment proposals, sustainability analysis, forecasts, quarterly reports, and GIS-based geographical analyses to identify investment opportunities and risks.

Requirements

Applicants should be pursuing a college or university degree in Real Estate Economics, Economic Geography, Data Science and Business Analytics, or a related field. They should know Microsoft Office, especially Excel, and preferably have GIS experience; experience with quantitative methods, data science techniques, and real estate research is also preferred.