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Sr. Analyst, Global Brand Analytics
Coach
New York, NYOn Site
Original Job Summary
About Coach
Coach is a global fashion house founded in New York in 1941. As part of the Tapestry portfolio, Coach is committed to innovation, inclusivity, and stretching what’s possible.
Primary Purpose
The Global Coach Brand & Marketing Analytics team drives growth by providing insights, measurement frameworks, and self-serve tools. The role involves analyzing sales, consumer, digital, and survey data to contextualize business performance and drive actionable recommendations across the organization.
Key Responsibilities
- Analyze diverse data sources using measurement frameworks.
- Communicate findings across leadership and cross-functional teams.
- Assess and enhance brand growth initiatives through testing and analysis.
- Manage quarterly consumer reporting and an annual global forecasting model.
- Collaborate with Tapestry Data Analytics for scalable dashboard solutions.
Required Skills & Qualifications
- 3+ years experience in Digital / Consumer Analytics roles.
- Advanced Excel and SQL skills.
- Proficiency with data visualization tools (Tableau, DOMO, etc.).
- Strong analytical, creative problem solving, and critical thinking skills.
- Excellent communication and presentation abilities.
- Comfortable with ambiguity and rapid changes.
Competencies
Coach values courage, creativity, customer focus, and the ability to deal with ambiguity while driving results through effective teamwork and continuous learning.
Benefits
- Medical, Dental, and Vision insurance
- 401(k), Paid Parental Leave, Commuter Benefits
- Disability insurance and Tuition assistance
Key skills/competency
- Analytics
- Brand
- Consumer
- Digital
- SQL
- Excel
- Tableau
- Forecasting
- Reporting
- Insights
How to Get Hired at Coach
🎯 Tips for Getting Hired
- Research Coach's culture: Understand their brand legacy and values.
- Tailor your resume: Highlight analytics and SQL expertise.
- Showcase technical skills: Emphasize Excel and Tableau experience.
- Demonstrate insights: Provide examples of data-driven strategies.
📝 Interview Preparation Advice
Technical Preparation
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Practice advanced Excel functions.
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Review SQL query optimization.
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Familiarize with Tableau dashboards.
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Analyze complex datasets briefly.
Behavioral Questions
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Describe a time you solved data challenges.
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Explain handling rapidly changing priorities.
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Discuss collaboration across teams.
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Share examples of communicating complex insights.