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Senior Analyst, AI & Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: Foot Locker, Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 95000 - 115000 USD Yearly USD 95000.00 115000.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

Hybrid (3 days in NYC office)

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
  • 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 improve 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

  • Translate business needs into data and AI solutions
  • Partner with analytics, engineering, and business teams
  • Ensure consistency in metrics and definitions
  • Communicate 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., Lang Chain, 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)
Benefits

The annual base salary range is $95,000 - $115,000 per 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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Position Requirements
10+ Years work experience
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