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Data Analytics Intern - Summer 2025

Tapestry
Las Vegas, United StatesinternshipVerifiedPosted 10 Jan 2025
💰 $40,000/yr

About the role

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, Kate Spade New York, Stuart Weitzman – 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. 

 

2025 Summer Data Analytics Intern 

North Las Vegas, NV – Tapestry Fulfillment Center 

 

Hourly Rate:  $20/hr  

Hours:  40 hours per week 

Timeline:  May 19th – August 8th (12 week Internship) 

Major:  Analytics, Data Science or related 

Academic Progression:  Junior, Senior or Recent Graduate 

 

**No relocation or housing assistance available**  

 

 

About our Team:  Our Analytics team at Tapestry (Coach, Kate Spade & Stuart Weitzman) supports the 800,000 square foot Fulfillment Center in North Las Vegas and other North America DCs through leveraging data and analytics to optimize supply chain efficiency. Key responsibilities include automating manual processes via data pipelines and Power Apps, conducting data analyses to identify improvement opportunities (inventory, logistics, supplier performance, cost savings), designing interactive dashboards for supply chain metrics/KPIs with data visualization, collaborating with Operations to implement solutions based on insights, and driving continuous improvement. 

 

Internship Responsibilities: 

  • Perform comprehensive data analyses to identify opportunities for optimization and improvement within supply chain operations. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions to address operational challenges. 

  • Design and develop efficient SQL queries to extract relevant data from various data sources, ensuring data accuracy and integrity. 

  • Design and implement interactive dashboards and data visualization tools to effectively communicate critical operational Key Performance Indicators (KPIs). 

  • Collaborate closely with cross-functional teams, including operations, supply chain, and business stakeholders, to understand their data needs and priorities. 

  • Leverage data-driven techniques, such as process mining and process mapping, to gain comprehensive insights into existing processes. Conduct in-depth analyses of current operational processes and workflows to identify inefficiencies, bottlenecks, and areas for improvement. 

  

Intern Qualifications: 

  • Must be a junior, senior, or new graduate within engineering major 

  • SQL knowledge 

  • Dashboarding Tool experience (Tableau Preferred) 

  • Microsoft Excel, Word, PowerPoint, Visio experience  

  • Must be able to work onsite for full 12 weeks of internship 

 

 

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:

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Tapestry

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