Wayfair Analytics Transformation
Rapid growth led to fragmented analytics teams optimizing for speed over quality, creating duplicate work, inconsistent data, and constant firefighting. The organization needed to establish a culture of data literacy, data governance, and self-service.
Michael Perlis
Director, Analytics Platform & Insights
My Role
I led a global Analytics team spanning analytics engineering, data science, product management and process improvement, driving strategy and execution for Wayfair’s Merchandising, Supply Chain & Operations orgs.
Challenges
Wayfair’s analytics efforts were fragmented across teams, tools, and workflows—making it difficult to scale insights, drive consistency, and support 1,500+ business users with reliable performance reporting.
Solutions
We aligned 70+ analytics professionals and 1,500 business users around a unified transformation vision—anchored by a clear roadmap, structured team development, and a product discovery playbook that scaled self-service, automated workflows, and standardized project execution.
Impact
The transformation aligned 10 cross-functional teams around a unified data strategy and created clear career paths for a 70+ person analytics organization. By consolidating 300+ metrics into a single source of truth and enabling self-service for 1,500 users, we improved data trust, accelerated decision-making, and scaled analytics adoption across the company.
