Job Description
Job Description Position Summary The Analyst, Geospatial Intelligence – Store Clustering & Localized Assortment supports the development of store-specific assortment and clustering recommendations by analyzing geospatial, shopper, and store-level data. This role helps translate trade area dynamics, mobility patterns, demographic changes, and store performance into actionable insights that improve localized decision-making. Supporting the Senior Manager, Geospatial Intelligence – Localized Assortment & Store Clustering, this position plays a key role in identifying market opportunities, supporting store clustering strategies, and developing localized recommendations that drive category growth and incremental sales. The Analyst partners with internal stakeholders, customer teams, and retail partners by delivering clear, data-driven analysis and recommendations. Key Responsibilities Analyze store-level, market-level, and geospatial datasets to support localized assortment and store clustering strategies. Use Placer.ai and other integrated data sources to evaluate who shops a store, who lives within its trade area, and how those dynamics affect local assortment opportunities. Support the creation and refinement of store clusters based on shopper behavior, demographic composition, trade area characteristics, and market trends. Identify localized opportunities tied to seasonality, weather, multicultural events, temporary population shifts, and neighborhood changes. Assist in building event-, weather-, and season-based playbooks that help teams respond to changing local demand. Conduct incursion analysis to assess the impact of new store openings near existing locations and identify risks and growth opportunities. Analyze trip circuit and trip mission data to better understand shopper behavior and support localized category recommendations. Synthesize data from the Category Intelligence Platform, including GIS datasets, point-of-sale data, inventory, weather, and real-o-gr
