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Manager, Customer Intelligence & Analysis

Job in New York, New York County, New York, 10261, USA
Listing for: Foot Locker
Full Time position
Listed on 2026-10-05
Job specializations:
  • Business
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 95000 USD Yearly USD 90000.00 95000.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression.

Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression. As part of the DICK’S Sporting Goods family, you’re backed by the resources, reach, and career opportunities of a world-class sports company.

That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s next. Whether you’re building strategy, shaping innovations, or creating unforgettable customer moments, you’ll contribute to decisions and experiences that define our brands’ impact in the communities we serve.

Come change the game with us.

Responsibilities

Key Responsibilities
  • Analyze customer behavior across their entire journey to identify trends and opportunities
  • Develop customer segmentation and lifecycle analyses across acquisition, frequency, retention, churn, reactivation, and lifetime value
  • Analyze Foot Locker Inc. loyalty engagement, enrollment, redemption behavior, offers, and customer purchase patterns
  • Identify meaningful differences across customer segments, loyalty tiers, banners, markets, stores, channels, product categories, and shopping occasions
  • Conduct basket, product, brand, and purchase behavior analysis to identify opportunities to increase frequency, average order value, attachment, retention, and customer lifetime value
  • Proactively surface business trends, risks, and opportunities rather than waiting for teams to request analysis
Loyalty Program & Customer Engagement Analysis
  • Serve as the primary insights and analysis partner for Customer Insights and Loyalty, helping teams understand customer behavior, member engagement, and program performance
  • Own program ROI analysis, budget planning, forecasting, and investment decisions
  • Partner with Finance on accounting, forecasting and program P&L impacts
  • Track and analyze performance across loyalty enrollment, engagement, offers, rewards, member communications, promotions, CRM, and lifecycle journeys
  • Create and maintain reporting for key metrics including CAC, ROAS, LTV, conversion, retention, frequency, engagement, promotional lift, and incremental revenue
  • Evaluate promotional and offer performance, including redemption, incremental sales, customer behavior, and profitability
  • Analyze test results and translate outcomes into clear recommendations and next steps

    Maintain learnings from prior tests so teams can build on what has already been proven
Customer Journey, Reporting & Customer Intelligence
  • Analyze customer journeys and purchase funnels to identify opportunities to improve acquisition, conversion, retention, loyalty engagement, basket size, and repeat purchase
  • Build simple, scannable reporting that allows teams and senior leadership to quickly understand performance from a consumer lens
  • Automate recurring reporting wherever possible so more time can be spent generating insights rather than pulling numbers
  • Translate complex datasets into clear, concise recommendations for both technical and non-technical audiences
  • Support recurring business reviews with clear analysis of what is driving performance
  • Develop forecasting models to support campaign planning, customer engagement, loyalty…
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