Senior marketing analytics manager
Our Opportunity
Chewy is seeking a Sr. Analyst/Economist, Ads Budget Optimization to join our growing Advertising team. This role will design and operationalize the quantitative frameworks that guide how advertising budgets are deployed across both onsite and offsite supply. By building optimization models and incrementality insights, you will enable more efficient budget utilization, stronger advertiser outcomes, and accelerated growth for Chewy Ads. Come join a highly collaborative, innovative team dedicated to shaping the future of pet advertising while supporting Chewy’s mission of being the most trusted and convenient online destination for pet parents (and partners), everywhere. What You'll Do- Build and maintain allocation models (e.g., marginal return curves, constrained optimization, auction dynamics) to optimize budgets across onsite and offsite
- Develop and run experiments to measure incrementality and cross-channel trade-
- Partner closely with Demand teams to translate model outputs into actionable budget allocation decisions.
- Collaborate with Supply teams to incorporate inventory dynamics and
- Provide leadership with neutral, data-driven recommendations that maximize advertiser outcomes and Chewy’s long-term growth.
- Contribute to the eventual automation of allocation by working with Product and Engineering to embed your models into tools and platforms.
- 5+ years of experience in data science, quantitative marketing, adtech optimization, or portfolio management.
- Advanced degree (MS/PhD) in Economics, Statistics, Applied Math, Operations Research, or related field.
- Strong background in econometrics, optimization, and statistical
- Technical proficiency in R, Python, or similar programming languages; comfort with
- Excellent communication skills with the ability to translate complex models into actionable insights for business partners.
- Strong collaboration skills with experience working cross-functionally in fast-paced, matrixed organizations.
- Experience in advertising technology, marketplace economics, or media buying
- Familiarity with auction dynamics, bid optimization, or algorithmic
- Prior experience building automated decisioning or optimization frameworks at
- Demonstrated ability to balance theoretical modeling with practical business
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