Senior Analyst, AI & Analytics

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.

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. Apply today! 

This position is fully remote; US only.

At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).

Foot Locker Inc. is seeking a highly motivated Senior AI & Analytics Analyst to drive high-impact insights and build AI-powered, self-service decision capabilities across Foot Locker. In this role, you will operate at the intersection of business, data, and AI—transforming complex data into actionable insights and scalable solutions that enable smarter, faster decision-making. You’ll partner closely with cross-functional teams to design and deliver analytics products that enhance retail intelligence, operations, and customer experience.

This position goes beyond traditional analytics, focusing on embedding intelligence into workflows through automation, semantic modeling, and AI-enabled tools. You will play a key role in shifting the organization from reactive reporting to proactive, data-driven strategy. If you are passionate about solving complex problems and applying modern AI approaches in a dynamic retail environment, this role offers the opportunity to make a meaningful enterprise-wide impact.

Responsibilities

Deliver Insights & Drive Decisions 

• Perform deep-dive analysis across key business areas, with emphasis on Retail Intelligence 

• Translate business questions into technical requirements, structured analysis and actionable insights 

• Define and monitor KPIs aligned to business goals 

• Support leadership with recurring and ad hoc decision analysis 

• Identify opportunities to scale insights through automation and self-service 

Build AI-Powered Analytics Capabilities 

• Design and develop self-service analytics tools powered by AI 

• Create scalable, analytics-ready datasets and semantic layers 

• Apply context engineering (data, logic, business rules) to ensure accuracy and insightful responses. 

• Enable natural language querying, enhanced self-service analytics, automated insight generation, and decision intelligence support. 

• Continuously improving tools based on user behavior and business needs 

Support Advanced AI Solutions 

• Support engineers to develop and deploy AI-driven solutions 

• Define use cases, requirements, and success metrics 

• Contribute to solution design (data structure, context, validation) 

• Work with modern AI approaches (e.g., RAG, prompt engineering, agent workflows) 

• Participate in prototyping, testing, and iterative development 

Cross-Collaborate Across the Business 

• Translating business needs into data and AI solutions 

• Partner with analytics, engineering, and business teams 

• Ensure consistency in metrics and definitions 

• Communicating insights clearly to technical and non-technical audiences 

Work within Agile environments 

Qualifications

• 4+ years in analytics, data, or a related field 

• Proven ability to deliver insights and drive business impact 

• Experience working across both business and technical teams 

• SQL (advanced): large-scale data transformation and optimization 

• Analytics: strong problem-solving, statistical thinking, and insight generation 

• Data Modeling: building scalable datasets and semantic layers 

• Working Knowledge of AI Fundamentals: familiarity with  

• RAG, embeddings, prompt engineering 

• Agent frameworks (e.g., LangChain, Semantic Kernel) 

• Model evaluation and design trade-offs 

Nice to Have Skills (Not Required)

• Retail industry experience (merchandising, planning, operations) 

• Experience with AI-enabled BI (e.g., Power BI, Databricks, Snowflake) 

• Python for analytics or prototyping 

• Exposure to vector databases, semantic search, or knowledge systems 

• Agile experience (e.g., JIRA) 

At Foot Locker, we value innovation, authenticity, and integrity in all that we do.  To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments.  To ensure a smooth and secure experience, please review the following guidelines:

• Cameras must be on for all virtual interviews.
• AI tools are strictly prohibited during interviews or assessments.

We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.

Benefits

The annual base salary range is $95,000 - $115,000/ year. This range represents the anticipated low and high end of the salary for this position. This role is also eligible to receive short term incentives that align with individual and company performance. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below. 

Foot Locker Benefits: 

• Employee Discount 
• Paid Time Off 
• Medical | Dental | Vision Coverage 
• 401(k) | Roth 401(k)  
• Life Insurance 
• Flexible Spending Account 
• Opportunities for Advancement 
• Tuition Reimbursement for Qualified Courses 
• Strong Company Culture 
• Employee Resource Groups 

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