Consumer Edge

Product Manager, Location Analytics

Consumer Edge

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Salary

💰 $150,000 - $200,000 per year

Job Level

Mid-LevelSenior

About the role

  • 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
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