Sr. Analyst, Data Consulting
Tapestry, Inc.
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Job summary
Tapestry, Inc. seeks a Senior Analyst, Data Analytics to apply advanced analytics, data science, and AI across our international properties. You’ll partner with Merchandising, Marketing, Digital, Supply Chain, Retail, and Finance to uncover impactful opportunities and translate findings into revenue and margin improvements.
You’ll build dashboards, predictive models, and AI-driven recommendations to automate insights and support data-first decision making across global teams.
Qualifications
- Bachelor’s degree in a quantitative or technical discipline.
- 3+ years of hands-on analytics experience in retail, e-commerce, consumer, or consulting.
- Strong understanding of core business metrics and management reporting.
- Experience applying AI/ML and agentic solutions to forecasting or automated reporting.
- Advanced SQL and ETL skills with data-visualization expertise.
- Proficiency in Python or R for analysis and modeling.
- Experience with cloud data warehouses (BigQuery) and digital analytics tools.
- Ability to translate metrics into actionable recommendations and drive adoption.
Responsibilities
- Support data integrity, standards, tools architecture, and training across functions.
- Shift from static reporting to insight generation with dashboards and dynamic visuals.
- Perform large-scale analyses to uncover demand, media-spend efficiency, and revenue opportunities.
- Promote data-first decision-making and track outcomes across the organization.
- Develop AI-driven recommendations and predictive models integrated into business processes.
- Build AI agents to automate analytical workflows and self-service Q&A.
- Lead AI/ML pilot projects and scale successful solutions globally.
- Collaborate with data engineering, data science, and algorithm teams.
- Align with Global DA team on reporting standards and cross-regional data sharing.
- Maintain data quality and create reusable analytics tools for stakeholders.
Skills
Education
Tools
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.
- 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.
- 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.
- 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.
- 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.
- Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulate 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.
Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant’s or employee’s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Americans with Disabilities Act (ADA) Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at 1-855-566-9264.
Visit Tapestry, Inc. Base Pay Range $115,000.00-$125,000.00
- Medical insurance
- Dental insurance
- Vision insurance
- 401 (K)
- Paid Paternity and Maternity leave
- Commuter Benefits
- Disability insurance and Tuition assistance
Our growth is creating great opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it!
Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people.
Driven by dreamers and makers, we turn passion into progress. By embracing differences and pushing boundaries, we create with purpose, uplift one another, and shape a more inclusive, sustainable future—together.
Our brands go beyond products—they inspire confidence, encourage self-expression, and build lasting emotional connections with consumers. Through constant innovation and deep customer insight, we anticipate where shoppers are headed and adapt to meet them with personalized, seamless experiences. Our digitally powered, unified shopping journey allows our brands to become part of people’s lives—meeting them when, where, and how they choose to shop.
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