Note: The job is a remote job and is open to candidates in USA. Foot Locker is a leading sports company that is seeking a highly motivated Senior AI & Analytics Analyst to drive high-impact insights and build AI-powered decision capabilities. In this role, you will transform complex data into actionable insights and scalable solutions while partnering with cross-functional teams to enhance retail intelligence and customer experience.
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
Skills
- 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
- 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)
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
Company Overview