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Chewy is seeking a Senior Merchandising Data Analytics Manager to join our dynamic Merchandising Analytics team in FLL, Boston, or Seattle, leading the Selection C Vendor Analytics function. In this high-impact Individual Contributor role, you’ll shape the analytical foundation driving Chewy’s product selection growth, vendor insights, and category expansion strategies.
Job Responsibility:
Lead Selection Analytics: Develop frameworks to evaluate Chewy’s assortment coverage, identify white-space opportunities, and measure SKU productivity, new item ramp-up, and lifecycle performance across categories
Deliver clear, actionable insights in written and verbal form to influence decision-making
Vendor Insights Performance: Build comprehensive vendor health reports and analytical models
Partnership Strategy: Collaborate with Category Managers, Finance and other cross functional teams to inform joint business planning and negotiation strategies
Analytical Roadmap Tooling: Partner with Data Science, Engineering, and Product teams to build scalable data products and dashboards
Lead initiatives leveraging Generative AI to build intelligent selection agents
Team Leadership & Collaboration: Serve as a senior analytics lead, mentoring other analysts
Partner cross-functionally with Marketing, Supply Chain, and Pricing Analytics
Requirements:
Bachelor’s degree in a quantitative or business field (e.g., Finance, Supply Chain, Economics, Math, or related discipline)
6+ years of experience leading large-scale analytics projects/programs, preferably in retail or ecommerce
Experience leveraging Generative AI tools or frameworks to develop analytical or decision-support solutions
Strong SQL expertise
Experience in applying advanced analytics techniques
Proficiency in statistical tools and programming languages like R or Python
Strong written and verbal communication skills
Demonstrated leadership experience
Familiarity with ecommerce and retail metrics
Proficiency in data visualization tools (e.g., Tableau) and advanced Excel
Track record of operating effectively in ambiguous environments
Nice to have:
Advanced degree (e.g., Master’s in Analytics, Business, or related field)
Hands-on experience with R, Python, or similar programming
Project Management Certification or experience leading large cross-functional
Background in data modeling and building scalable analytics
What we offer:
401k
new hire and annual equity grant
medical/Rx
vision
dental
life
disability
hospital indemnity
critical illness
accident
parental leave
family services benefits
backup dependent care
flexible spending accounts
telemedicine
pet adoption reimbursement
employee assistance program
discounts including 10% off pet insurance and 20% off at Chewy.com