Define and deliver the Store Location Analytics roadmap aligned to CE’s strategy.
Build features supporting client use cases: measuring spend, customer counts, and share at the individual store level; competitive benchmarking across trade areas and overlapping store footprints; evaluating cannibalization and performance impacts of new store openings or closures; identifying white space opportunities for store expansion; comparing urban vs. suburban vs. rural store performance; understanding shopper cross-shopping between a retailer’s stores and competitors nearby.
Enable robust mapping of consumers to their most-frequented stores and rollups to CBSA, DMA, or region when needed.
Translate client needs into clear product requirements, prioritize roadmap items, and guide features from concept to launch.
Ensure store analytics are accessible through CE’s Dash interface and AI Copilot for natural language queries and visualizations.
Act as the voice of the customer, engaging with retailers, CPGs, and investors to validate use cases and refine features.
Work with engineering and data science to deliver store-level accuracy, scalability, and performance.
Requirements
4–8+ years of product management experience, with at least 3 years in store location analytics, retail intelligence, or GIS-based analytics.
Proven track record building tools for store performance, trade-area analysis, or market expansion/white space analysis.
Strong knowledge of store geocoding, trade-area definition, and competitor/store footprint analysis.
Experience with B2B data or SaaS analytics platforms; transaction data familiarity a plus.
Technical literacy — able to partner with engineers and data scientists on geospatial data structures, APIs, and visualization tools.
Excellent communication and stakeholder management skills.
Bachelor’s degree required; advanced degree in business, data science, or related field preferred.
Benefits
Competitive salary
Performance-based bonus opportunity
Company equity
401(k) match
Paid parental leave
Flexible and generous time off
Work-from-home flexibility
Subsidized health benefits
Vibrant work environment conducive to professional growth and innovation
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
store location analyticsretail intelligenceGIS-based analyticsgeocodingtrade-area analysismarket expansion analysisB2B dataSaaS analyticsgeospatial data structuresAPIs
Soft skills
communicationstakeholder managementproduct managementcustomer engagementprioritizationfeature guidanceconcept to launch