Consumer Edge
eCommerce • Finance • Market Research
Consumer Edge is your key to data-driven decision making via deep insights into global consumer spending behavior. The company specializes in providing consumer purchase data and analysis, allowing businesses to understand shopping behaviors, spending patterns, and market dynamics. With access to extensive datasets covering over 40,000 merchants and 1,800 brands globally, Consumer Edge empowers investors and corporate brands with timely and actionable insights to enhance performance and strategy.
Product Manager, Location Analytics
Job not on LinkedIn
September 27
🗽 New York – Remote
💵 $150k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
✅ Product Manager
🦅 H1B Visa Sponsor
Consumer Edge
eCommerce • Finance • Market Research
Consumer Edge is your key to data-driven decision making via deep insights into global consumer spending behavior. The company specializes in providing consumer purchase data and analysis, allowing businesses to understand shopping behaviors, spending patterns, and market dynamics. With access to extensive datasets covering over 40,000 merchants and 1,800 brands globally, Consumer Edge empowers investors and corporate brands with timely and actionable insights to enhance performance and strategy.
📋 Description
• 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
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