Senior Data Analytics & AI Insights Consultant

kate spade new york

New York (NY)

On-site

USD 115,000 - 125,000

Full time

7 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(K)
Paid paternity & maternity leave
Commuter benefits
Disability insurance
Tuition assistance

Job summary

Kate Spade New York, a Tapestry brand, seeks a Senior Analyst, Data Analytics to apply advanced analytics, data science, and AI to drive growth across global properties. You will collaborate with Marketing, Merchandising, Digital, Supply Chain, Retail, and Finance to uncover opportunities and translate insights into revenue and margin improvements.

You will build self-service analytics, predictive models, and AI-driven recommendations, advancing data-based decision making and organizational

Qualifications

  • Strong foundation in analytics, metrics, and management reporting.
  • Experience applying AI/ML and agentic solutions to forecasting or automated reporting.
  • Proven ability to translate data into actionable business recommendations.

Responsibilities

  • Support data integrity, reporting standards, tools architecture, and training across functions.
  • Build interactive dashboards and dynamic visualizations for leadership audiences.
  • Develop large-scale analyses to uncover drivers of demand, revenue, and margins; present data-driven stories.

Skills

Advanced SQL & ETL
Data storytelling
AI/ML experience
LangChain / AI agents
Stakeholder collaboration

Education

Bachelor's degree in a quantitative or technical discipline

Tools

Tableau
Power BI
BigQuery
Python
R

Job description

Kate Spade New York, a Tapestry brand, seeks a Senior Analyst, Data Analytics to apply advanced analytics, data science, and AI to drive growth across global properties. You will collaborate with Marketing, Merchandising, Digital, Supply Chain, Retail, and Finance to uncover opportunities and translate insights into revenue and margin improvements.

You will build self-service analytics, predictive models, and AI-driven recommendations, advancing data-based decision making and organizational

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