Senior Analyst, AI & Analytics

Foot Locker•,

6d•$95,000 - $115,000•Remote

About The Position

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. 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).

Requirements

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 Haves

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)

Responsibilities

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
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 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
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