Responsibilities:

• Perform data analysis to include data validation, investigation, and testing of hypotheses
• Assist in the collection, cleaning, processing, and validating of internal and external data
• Help design and build reports and products that will create insights for the company's leasing and management teams
• Distill retail / real estate ideas into small data science projects, with ownership of the entire project timeline, including idea generation, communication with experts in the field, data analysis and visualization / communication of findings
• Analyze and summarize key findings of research, create reports and presentations for internal and external use
• Work with a variety of commercial real estate market data, retailer and real estate performance data, demographic data, and internal data as well as other third-party data
• Support research on demographic and economic trends, retail and business activity, and retailer performance

Requirements:

• Bachelor’s degree in data science, computer science, statistics, finance, economics, real estate, or related field
• At least 2 years' post college experience in a similar role
• Python (pandas, numpy, statsmodels, sklearn and related data libraries)
• Ability to construct intermediate SQL queries
• Mastery of Excel and strong PowerPoint skills, with the ability to learn internal systems
• Intermediate Power BI, Tableau and BI development a plus
• Interest in commercial real estate and how to assist critical business functions, including management, leasing, marketing, and IR through data analysis
• Strong financial/analytical/research skills either through college course work, internships, or work experience
• Ability to interpret and present complex information, assist in data storytelling
• Ability to work independently and within a team environment. Ability to work in a hybrid work environment.
• Commercial real estate industry experience a plus

The expected salary range for this position is between $80,000 and  $115,000.