Green Street seeks highly motivated candidates with relevant work experience and superior academic credentials to join its Market Analytics team. Green Street’s Market Analytics team offers the unique opportunity to help develop an expanding product line and produce market-level insights across property sectors within an acclaimed research group.

• Prepare and publish a wide range of macroeconomic and market-focused reports
• Collect, organize, and analyze real estate information on markets and submarkets throughout the United States
• Build and maintain complex financial models and databases
• Become an expert of Green Street’s research methodologies and valuation framework to be able to communicate effectively with clients
• Closely follow and understand real estate market activity and the impact of news events on specific sectors, markets, and assets
• Analyze diverse data to form a cohesive macroeconomic and real estate outlook
• Demonstrate resourcefulness by seeking out new and unusual sources of information

In addition to a strong work ethic and motivation to learn, the Associate position requires the following skills: meticulous attention to detail, strong financial data analysis skills, exceptional communication abilities (both written and verbal), high-level of organization, creativity and resourcefulness. Strong analytical skills and a background in finance are required. The ideal candidate will have:

• Bachelor’s or Master’s degree with a focus in finance, accounting, real estate, economics, or a related field or significant experience in financial services and/or commercial real estate
• 1-3 years experience in real estate, capital markets, or conducting financial/economic research; investment banking experience a plus
• The ability to multi-task effectively while maintaining accuracy
• Strong attention to detail and commitment to data integrity
• Must enjoy writing research reports, problem solving, and possess excellent verbal and written communication skills
• Expert Excel skills
• Experience leveraging AI tools to streamline responsibilities and enhance output
• Familiarity with R, SAS, or other statistical packages/programs or coding skills in SQL, Python or other database/programming applications a plus
• Interest in or currently pursuing the CFA designation

In addition to the posted base salary range, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here. Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.

Green Street will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Green Street is the leading global provider of actionable commercial Real Assets research, news, data, analytics, and advisory services. For over 40 years, Green Street has delivered unparalleled intelligence and trusted data on the public and private markets, helping investors, banks, lenders, and other industry participants optimize investment and strategic decisions. The firm delivers exclusive market information, conclusion-driven insights, and predictive analytics. Today, Green Street’s integrated platform serves more than 4,000 companies across North America, Europe, Australia, and Asia. For more information, please visit www.greenstreet.com. 

The success of Green Street is directly attributable to the strength of our people. A diverse and inclusive work environment where top talent can thrive, think freely and offer different perspectives makes our insights even stronger. We’re building a company culture where differences are celebrated and valued. 

Green Street is an Equal Opportunity Employer 

Green Street does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.