Our Opportunity:
Chewy is seeking a Senior Data Analytics Manager to join our dynamic Retail Analytics team in Bellevue WA supporting Chewy Chewys membership this high-impact Individual Contributor role you will lead analytics strategy and insights to drive member acquisition engagement retention and long-term customer value. You will partner closely with Product Marketing Finance and Technology teams to ensure Chewy decisions are grounded in rigorous data-driven insights.
The ideal candidate combines analytical depth with strong business acumenable to navigate ambiguity uncover opportunities and deliver clear data-driven narratives. This role requires a hands-on leader who can design robust datasets lead complex analyses and turn insights into measurable outcomes that fuel Chewys growth.
What Youll Do:
- Develop and own analytical frameworks to measure Chewy member acquisition activation engagement retention churn and lifetime value.
- Define and track core Chewy KPIs including cohort performance incremental value cannibalization and ROI.
- Lead deep-dive analyses on member behavior purchase frequency basket composition and cross-category lift.
- Design and evaluate A/B tests and quasi-experiments to inform Chewy pricing benefits and promotional strategies.
- Partner with Data Science to develop models that assess the incrementality of the product.
- Ensure consistent metric definitions data quality and governance across Chewy reporting.
- Collaborate with Finance on Chewy P&L unit economics and long-term value modeling.
- Work closely with Data Engineering and BI teams to enable reliable well-modeled loyalty datasets.
What Youll Need:
- Bachelors degree in Analytics Statistics Economics Mathematics Computer Science or a related field (Masters preferred).
- 6 years of experience in analytics business intelligence or data science preferably in e-commerce subscription or loyalty programs.
- Advanced SQL skills and experience working with large complex datasets.
- Strong experience with Python or R and data visualization tools such as Tableau or Power BI.
- Experience with customer lifecycle metrics cohort analysis and CLV modeling.
- Strong analytical thinking with the ability to translate insights into clear business recommendations.
- Excellent communication skills and ability to influence senior stakeholders.
- Ability to thrive in ambiguous environments and structure open-ended problems.
Required Experience:
Manager
Our Opportunity:Chewy is seeking a Senior Data Analytics Manager to join our dynamic Retail Analytics team in Bellevue WA supporting Chewy Chewys membership this high-impact Individual Contributor role you will lead analytics strategy and insights to drive member acquisition engagement retention an...
Our Opportunity:
Chewy is seeking a Senior Data Analytics Manager to join our dynamic Retail Analytics team in Bellevue WA supporting Chewy Chewys membership this high-impact Individual Contributor role you will lead analytics strategy and insights to drive member acquisition engagement retention and long-term customer value. You will partner closely with Product Marketing Finance and Technology teams to ensure Chewy decisions are grounded in rigorous data-driven insights.
The ideal candidate combines analytical depth with strong business acumenable to navigate ambiguity uncover opportunities and deliver clear data-driven narratives. This role requires a hands-on leader who can design robust datasets lead complex analyses and turn insights into measurable outcomes that fuel Chewys growth.
What Youll Do:
- Develop and own analytical frameworks to measure Chewy member acquisition activation engagement retention churn and lifetime value.
- Define and track core Chewy KPIs including cohort performance incremental value cannibalization and ROI.
- Lead deep-dive analyses on member behavior purchase frequency basket composition and cross-category lift.
- Design and evaluate A/B tests and quasi-experiments to inform Chewy pricing benefits and promotional strategies.
- Partner with Data Science to develop models that assess the incrementality of the product.
- Ensure consistent metric definitions data quality and governance across Chewy reporting.
- Collaborate with Finance on Chewy P&L unit economics and long-term value modeling.
- Work closely with Data Engineering and BI teams to enable reliable well-modeled loyalty datasets.
What Youll Need:
- Bachelors degree in Analytics Statistics Economics Mathematics Computer Science or a related field (Masters preferred).
- 6 years of experience in analytics business intelligence or data science preferably in e-commerce subscription or loyalty programs.
- Advanced SQL skills and experience working with large complex datasets.
- Strong experience with Python or R and data visualization tools such as Tableau or Power BI.
- Experience with customer lifecycle metrics cohort analysis and CLV modeling.
- Strong analytical thinking with the ability to translate insights into clear business recommendations.
- Excellent communication skills and ability to influence senior stakeholders.
- Ability to thrive in ambiguous environments and structure open-ended problems.
Required Experience:
Manager
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