Job DescriptionPrimary PurposeThe 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, 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.
- Bachelor's degree in a quantitative or technical discipline.
Preferred Qualifications- Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps/LLMOps tooling.
- Experience with retail/consumer businesses and global, multi-market operations.
- Interest in advancing data culture and promoting data-centric decision making.
- Master's degree in a quantitative discipline is a plus.
Our Competencies for All Employees
Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
Our Competencies for All People ManagersStrategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Base Pay Range$115,000.00-$125,000.00
Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits.
