Sr. Analyst, Global Brand Analytics

kate spade new york•New York, NY

About The Position

Coach is a global fashion house founded in New York in 1941, part of the Tapestry portfolio of brands. The Global Coach Brand & Marketing Analytics team is responsible for providing insights, measurement frameworks, and scalable analytics solutions to enable the Coach Brand team to deliver its ambitious growth strategy. This role will contribute to the measurement of brand growth initiatives and leverage advanced analytics and AI to enhance, scale, and operationalize insights across the organization.

Requirements

3+ years experience in Digital / Consumer Analytics or related roles
Advanced Excel and SQL skills required
Proficiency in data visualization and storytelling, using advanced analytics and AI to clearly communicate insights and drive action
Strong analytical skills with the ability to perform complex analyses and generate data-driven insights and recommendations
Demonstrated experience leveraging AI or advanced analytics tools to enhance analysis, automate workflows, or improve business outcomes
Proven ability to identify opportunities to scale and operationalize analytics through automation and tooling
Exceptional creative problem solving and critical thinking skills
Great attention to detail, with ability to dig deep into details while keeping focus on the primary business question at hand
Strong communication and presentation skills, with ability to communicate complex concepts in a simple and succinct way
Comfort with ambiguity; ability to thrive in an environment with rapid change

Responsibilities

Design and operationalize scalable analytics solutions, including automated reporting, forecasting, and insight generation, reducing manual workflows and increasing speed to insight
Analyze sales, consumer, and digital data to identify key drivers of performance and assess the impact of brand growth initiatives. Translate findings into clear, actionable recommendations for cross-functional stakeholders and leadership
Own and evolve the global consumer forecasting model, improving accuracy and adaptability to changing business conditions through advanced analytical approaches
Leverage AI and advanced analytics to enhance workflows, automate processes, and unlock deeper insights that improve speed, scale, and decision-making quality
Partner with Data Analytics and engineering teams to productionize and scale analytics solutions, integrating them into dashboards and self-serve tools used across the organization
Identify opportunities to improve how analytics is delivered across the organization, driving more efficient, scalable, and impactful ways of working