Senior Data Analyst
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Full-time
USD75.4K - 100K/year
~COP150M - 200M/year
+ Equity
+ Bonuses
Posted about 3 years ago
Responsibilities
Massachusetts-based WS Development is a mixed-use developer with a singular mission: creating places people want to be. With an approach that values art, science, innovation and, above all else, people, WS strives to engage each community it serves with best-in-class installations and activations. Established in 1990, WS is a vertically-integrated company that conceptualizes, owns, operates and leases more than 100 properties that range from cutting-edge urban spaces to lifestyle and community centers. With over 22 million square feet of existing space and an additional nine million square feet under development, it is one of the largest privately-owned development firms in the country.
This role will work within the Data Insights team to provide analysis that answers questions and identifies opportunities across our business. The right candidate will have strong data analysis skills and will also be able to prioritize long-term and short-term data projects with some guidance. In addition, they will have experience in, or an interest in learning about, commercial real estate. The work will make an impact on many areas of the business including Leasing, Marketing, and Investments to name a few. The role will have the potential to determine new ways for the company to capture, structure, and use data to drive business decisions.
Responsibilities:
- Gain a deep understanding of Placer.AI, SitesUSA, and other tools that examine foot traffic, demographics, and other metrics across shopping centers
- Use SQL, R and/or Python to provide analysis requested by Investments, Leasing, Marketing, and Field teams (such as acquisition research, demographic fit analysis for target tenants, marketing ROI calculations)
- Create data stories for Marketing pieces and Leasing presentations using various external and internal datasets
- Learn our internal datasets and data tools and make recommendations for improvement
- Explore our internal datasets to look for trends and opportunities across categories (ex. CAM expenses, tenant sales, tenant rents, construction costs, etc.)
- Analyze the strength and quality of potential and existing 3rd party data providers
- Connect with peers across the company to understand their work and project requests as they relate to Data Insights