tentions etc. Outputs from these efforts would inform where we have selection gaps, up/cross sell opportunities and risks involved. Additionally, you will partner with the Data Science team to build models to optimize Autoship KPIs. The person in this role will work cross-functionally with category management, product, finance and other analytics teams throughout the organization to create complementary solutions which help data tell the story that is required to understand both the inputs and outputs of our business.
What you'll do:
Dive deep into Autoship program data, analyzing drivers of subscription-specific metrics such as sign ups, cancellations, customer churn/retention, customer lifetime value, and subscription adoption patterns
Identify areas of opportunities in assortment selection, up/cross sell and quantify them
Own regular reporting of the trends and patterns in the business and communicate with cross functional teams and senior leadership along with development of scalable dashboard in partnership with BI Team
Extract actionable insights to drive strategic decisions for the continuous improvement of the Autoship program
Partner closely with Enterprise Data Engineers to enhance existing data tables, develop new data tables and implement rigorous data governance practices, with a keen eye on the intricacies of subscription program data
Utilize advanced statistical methods and predictive modeling techniques to forecast Autoship program growth, subscription renewal/churn rates in partnership with Data Science Team
Provide timely and accurate insights to support proactive decision-making in the evolving landscape of Autoship program
Work closely with Category Management, Finance, Marketing, Operations, and Product teams to align on the key challenges of the Autoship program, identify primary goals of the program and the analytical needs in specific
Provide analytical support for the development and enhancement of subscription-specific features, ensuring synergy across the Autoship ecosystem
What you'll need:
Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or related discipline)
5+ years of proven experience in analyzing data and sharing key insights (preferably in retail space)
Previous experience analyzing subscription-based businesses/projects is a plus
3+ years of experience with BI/visualization tools like Tableau, Power BI, BO, etc.
3+ years of experience with data modeling in large Data warehousing, data lake environment
1+ years of data science experience with building regression, classification models (preferred)
Advanced analytical skills with excellent knowledge of SQL
Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders
Ability to travel up to 10% of the time
Compensation & Benefits:
Our salary range for a Manager, Autoship Analytics II position is $110,500.00 - $176,000.00. 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/Rx, 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 paid time off (PTO) while salaried-exempt team members have unlimited PTO, subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). 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.
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].