Sr. Data Analyst at Foot Locker, New York, NY

Sr. Data Analyst at Foot Locker in New York, NY. Full-time. Est. up to $130k. Apply with swipeandhired.

Sr. Data Analyst Job Location(s) US-NY-New York Position Type Regular Full-Time FLSA Status Exempt Job ID 2026-72320 Category Digital Brand Foot Locker Overview This is a hybrid position and will be located at our Foot Locker office. In-Office schedule is Tuesday, Wednesday and Thursday with Monday and Friday being remote. Office location is: 2 Pennsylvania Plaza New York, New York 10121 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. We are seeking a highly skilled and experienced Senior Data Analyst to join our Customer Analytics team within Global Data & Analytics . This role will transform complex customer data into actionable insights that guide business strategy, strengthen vendor partnerships, and support informed decision-making across the organization. The analyst will help expand access to trusted cu stomer analytics and insights across the organization , in cluding for the Executive Leadership Team. This role involves: Serve as a customer analytics lead for strategic business questions, using internal and external data to identify customer health trends, growth opportunities, behavioral shifts, and performance drivers. Partner with business teams and vendors to evaluate initiatives through a customer lens, clearly identifying what is working, what is not working, why it matters, and what actions should follow. Develop scalable dashboards, reporting, analytical frameworks, and executive-ready narratives that broaden access to trusted customer intelligence across the organization. Translate customer data into business value by connecting insights to customer acquisition, engagement, retention, loyalty, channel behavior, category performance, and long-term growth. Come change the game with us. Apply today! Responsibilities Lead analyses of customer purchase, engagement, demographic, loyalty, channel, product, and digital behavior to identify meaningful trends, opportunities, and risks. Partner with Merchandising, Marketing, Media, Finance, Digital, Strategy, and other teams to frame business questions and develop customer-centered analytical approaches. Evaluate business and vendor performance from the customer point of view, including who is buying, how behavior is changing, where engagement is strengthening or declining, and what is driving outcomes. Develop and maintain customer health reporting, executive dashboards, scorecards, and self-service tools that give leaders consistent access to trusted insights. Create vendor and brand insights that help internal partners and external vendors understand customer overlap, acquisition, retention, cross-shopping, channel behavior, category preferences, and growth opportunities. Synthesize complex findings into clear executive narratives, identifying what is working, what is not working, the business implications, and recommended actions. Conduct deep-dive and ad hoc analyses to answer priority business questions and uncover emerging customer opportunities. Establish clear analytical methodologies, definitions, and documentation to ensure customer insights are consistent, transparent, and reproducible. <li aria-setsize="-1" data-aria-level="1" data-aria-posinset="9" data-font="Symbol" data-leveltext="" data-list-defn-props='{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}' data-listid="2" style="margin: 0px 0px 0px 24px; p