Senior Loyalty & Retention Analytics Manager - Remote Eligible
This role can be based out of any one of our Chewy Corporate hubs (Bellevue, Boston, Minneapolis, Plantation, Dallas) or remote in the United States. Additional location restrictions within the US may apply.
Our Opportunity:
Chewy is seeking a Senior Loyalty & Retention Analytics Manager to join our Customer Service Data & Analytics team in Dallas, TX, Plantation, FL, or Bellevue, WA, to support our loyalty and retention team, whose mission is to drive legendary surprise and delight campaigns for our customers. This is a technical position for a seasoned professional with experience in Marketing and/or Customer Service who can get hands-on with analytics and data science to drive insights. With a wealth of data at your fingertips, you will perform exploratory analysis, design experiments, and build models to deliver insights that improve customer retention and promote the Chewy brand. This dynamic role offers tremendous professional growth by placing you at the strategic and operational heart of the company where you will have the opportunity to shape the growth and direction of Chewy’s most celebrated team.
What You'll Do:
- Design models, success metrics, and reporting to measure the performance of loyalty and retention campaigns and overall program effectiveness.
- Create test plans to optimize campaign audience selection.
- Optimize the intake process for requests to drive enhanced personalization and the right outreach & retention measures at the right times.
- Collaborate outside of Customer Service to research opportunities for new loyalty and retention programs.
- Drive additional strategic initiatives to lead the Customer Service organization in leverage Chewy’s award-winning Customer Service as a brand differentiator.
What You'll Need:
- Graduate degree, preferably MS or PhD, in Engineering, Data Science, Economics, Statistics, Mathematics, or related technical discipline.
- 6+ years of relevant industry experience in the areas of Strategic Analytics, Marketing, Customer Service, Digital Marketing, Business Intelligence, Economics, Data Science, or Consulting.
- Proven analytical and quantitative skills. Uses data to develop business cases, tell compelling fact-based stories, and make insightful recommendations.
- Experience designing and executing A/B tests.
- Strong understanding of statistical concepts
- Expert use of SQL
- Experience with Machine Learning techniques
- Ability to script in Python or R
- Experience with Business Intelligence platforms
- Advanced Excel
- Uses MS Word, PowerPoint, or other vehicles to effectively communicate insights
Compensation & Benefits
The salary range for this position is $107,000-$215,000. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.
We offer different types of insurance, such as medical, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Non-exempt hourly team members accrue PTO and UTO while salaried-exempt team members have unlimited PTO. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
#LI-Remote
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 [email protected].
If you have a question regarding your application, please contact [email protected].
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