Senior Data Analyst

Role Overview

The Senior Analyst, Data Analytics is a global role that applies advanced analytics, data science, and AI to fuel growth across Tapestry’s international properties. The focus is shifting from routine reporting to forward-looking, actionable insight – supporting adoption of data-based measurement across the organization, and applying automation and AI agents to accelerate decision-making and operational efficiency.

What You Will Do

Perform large-scale analyses that uncover demand and acquisition drivers, media-spend efficiency, and revenue/margin-boosting actions; translate results into clear, data-driven stories for senior business audiences. Build and maintain predictive models, automated reporting, and AI-driven recommendations (e.g., demand forecasting, allocation optimization, marketing-spend efficiency) and help embed them in core business processes.

Why It Might Be a Fit

The ideal candidate will have 3+ years of hands-on analytics experience, a solid understanding of core business metrics, unit economics, and management reporting, and experience applying AI/ML and agentic solutions to forecasting, personalization, or automated reporting.

Requirements

• Natural curiosity and enthusiasm for data analytics
• 3+ years of hands-on analytics experience
• Solid understanding of core business metrics, unit economics, and management reporting
• Experience applying AI/ML and agentic solutions to forecasting, personalization, or automated reporting
• Advanced SQL and ETL skills
• Strong data-visualization expertise (Tableau, Power BI, or comparable)
• Hands-on experience with BigQuery or a comparable cloud data warehouse, and with digital analytics platforms such as Google Analytics
• Proficiency in Python or R for analysis and modeling
• Demonstrated AI experience – applying machine learning, LLMs, and/or generative AI to business problems
• Exposure to building AI agents and agentic workflows (e.g., LangChain, LangGraph, AutoGen, or comparable) to automate analysis and decision support
• Ability to turn business metrics into clear, actionable recommendations and to support adoption of data-based measurement
• Strong storytelling, communication, and relationship-building skills with business stakeholders
• Track record of analyses that improved revenue, gross margin, or process efficiency
• Ability to prioritize dynamically in a fast-paced, global environment

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401 (K)
• Paid Paternity and Maternity leave
• Commuter Benefits
• Disability insurance
• Tuition assistance

Tagged as: Data Analysis