Our Opportunity:
Chewy is looking for a Senior Merchandising Analytics Manager to join our dynamic Merchandising Team based in (FLL/Boston/Seattle) location. In this high-impact role, you will lead end-to-end analytics initiatives, partnering directly with senior leadership to influence strategies and drive measurable business outcomes. You will also collaborate cross-functionally to develop data solutions, deliver actionable insights, and build frameworks that enhance decision-making and improve customer experience.
We’re seeking a proactive leader who thrives in ambiguous environments, asks the right questions, and executes with speed and precision. You should excel at conducting deep dive analyses, synthesizing complex data into clear narratives, and delivering polished insights to senior stakeholders. This role goes beyond pulling data—you’ll design and build datasets, identify opportunities, and ensure our analytics programs deliver tangible results.
What You’ll Do:
- Own and drive analytics projects end-to-end: from scoping and data exploration to insight generation and presentation to senior leadership.
- Build and optimize datasets and analytical tools that enable scalable reporting and deep analysis.
- Conduct in-depth analyses of assortment, pricing, and promotional strategies to uncover opportunities for growth and profitability.
- Deliver clear, actionable insights in written (e.g., white papers, presentations) and verbal form to influence decision-making at the highest levels.
- Program manage large-scale cross-functional initiatives, ensuring accountability and alignment across teams.
- Proactively identify risks, opportunities, and trends to improve financial performance and customer experience.
What You’ll Need:
- 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.
- Proven ability to drive deep dive analyses, ask impactful questions, and deliver insights that inform strategy.
- Strong SQL expertise, with the ability to build datasets and perform complex queries across multiple systems.
- Experience in applying advanced analytics techniques, such as predictive modeling to forecast sales trends, clustering to segment customers, or regression analysis to understand drivers of performance.
- Proficiency in statistical tools and programming languages like R or Python to develop and automate advanced models.
- Strong written and verbal communication skills, including experience presenting to senior leadership and writing formal reports or white papers.
- Demonstrated leadership experience, including managing analysts or data engineers and influencing cross-functional teams.
- Familiarity with ecommerce and retail metrics, including pricing, inventory, assortment, and financial KPIs.
- Proficiency in data visualization tools (e.g., Tableau) and advanced Excel skills.
- Track record of operating effectively in ambiguous environments, driving clarity, and achieving results.
Bonus:
- Advanced degree (e.g., Master’s in Analytics, Business, or related field).
- Hands-on experience with R, Python, or similar programming languages.
- Project Management Certification or experience leading large cross-functional programs.
- Background in data modeling and building scalable analytics frameworks.
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
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