Job Description
Job Description The Senior Manager, Geospatial Analytics – Localized Assortment & Store Clustering leads the development of localized, store-specific recommendations by combining geospatial intelligence, shopper behavior, and store-level performance data. This role uses Placer.ai and other integrated data sources to understand who shops in a store, who lives within its trade area, and how local market dynamics should shape assortment, clustering, and planning decisions. This leader translates complex market, mobility, demographic, and operational data into actionable recommendations that help drive category growth and incremental sales at both the enterprise and store level. The role serves as the subject matter expert on store clustering and localized opportunity identification, advising customer teams, retail partners, and internal stakeholders on where and how to tailor category strategies to local demand. Key Responsibilities Develop and maintain store-level clustering strategies based on shopper behavior, trade area composition, demographic shifts, and emerging market trends. Leverage Placer.ai and other data sources to create micro-assortment recommendations informed by who shops a store and who lives within its store polygon or market area. Analyze store-level and market-level data to identify current and future localized opportunities that influence category strategy and assortment decisions. Build event-, weather-, and season-based playbooks that help customer teams and partners respond to changing local demand patterns. Identify local and regional seasonal opportunities, including multicultural events, temporary population shifts, and other market-specific drivers of demand. Detect emerging local whitespace opportunities, such as changes in retirement communities, proximity to college campuses, and evolving neighborhood dynamics. Conduct incursion analysis to evaluate the impact of new store openings near existing locations and recommend actions to mitigat
