Merchandising Analytics Manager

Merchandising Analytics Manager

Requirements

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or related field) or equivalent experience
• 5+ years of validated experience in analyzing data and sharing key insights (preferably in retail space)
• 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
• 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 collaborators
• Ability to travel up to 10% of the time

Responsibilities

• 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, and understand the impact promotions have on these metrics
• 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
• Apply 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 harmony across the Autoship ecosystem

Preferred Qualifications

• Previous experience analyzing subscription-based businesses/projects is a plus
• 1+ years of data science experience with building regression, classification models (preferred)