Sr. Analyst, Data Consulting at Tapestry in New York, NY

Job description

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what’s possible. At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands – Coach and Kate Spade New York – was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We’re always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized. A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity. Job Description Primary Purpose 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. You will partner with business teams worldwide – across Merchandising, Marketing, Digital, Supply Chain, Retail, and Finance – to define the right questions, uncover high-impact opportunities, and translate analysis into practical recommendations that improve revenue, gross margin, and the customer experience. Key Responsibilities Support data integrity, reporting standards, tools architecture, and training – partner across functions to build data-driven analyses, models, and tools that enable self-service insight. Shift effort from static reporting to insight generation – build interactive dashboards, dynamic visualizations, and standardized management reporting that surface leading-indicator insights. 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. Support organization-wide adoption of analytics – track outcomes, document impact, and promote a data-first mindset in planning and decision-making. 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. Develop AI agents that automate analytical workflows – performance commentary, report generation, anomaly detection, and self-service business Q&A. Contribute to automation & AI initiatives – execute AI/ML and agentic pilot projects, quantify tangible value, and help scale successful solutions across the global organization. Collaborate with data-engineering, data-science, and algorithm teams to improve data sourcing, management, and analytics product solutions. Connect with the Global Data Analytics (DA) team to align on reporting standards, share best practices, and support cross-regional data collaboration. Maintain data integrity, develop reusable analytics tools, and support stakeholder training so teams can rely on accurate, self-service data. Track key business and operational metrics, measure efficiency, and recommend process improvements that maximize sales and gross margin, improve the consumer journey and conversion, and focus the organization on value-creating levers. Required Skills & Experience Natural curiosity and enthusiasm for data analytics. 3+ years of hands-on analytics experience (retail, e-commerce, consumer, or consulting preferred). Solid understanding of core business metrics, unit economics, and management reporting. Experience applying AI/ML and agentic solutions to forecasting, pe