The role of the Corporate Planning Analyst is to effectively manage store inventory levels to support overall topside sales and inventory plans. This is a hybrid position of traditional Company Planning with a focus on eCommerce Business Analytics, reporting to the Director of Corporate Planning. This work requires strong analytical skills, the ability to build close partnerships with other functions, while delivering/exceeding financial targets.
Provide Buying leads with relevant data and analytic inputs to drive inventory optimization decisions tied to pre and in season business needs for the Web at brand/class/price.
Partner with merchandising and ecommerce team on in-season performance using both inventory and web KPIs to develop brand, category or style level analysis to drive decisions optimizing homepage, sales and conversion rate.
Assess and manage the Open to Buy forecast to help inform tops down financial forecast positioning, while identifying risks and opportunities. Guide Buying team actions to support tops down financial commitments with a focus on eCommerce.
Support monthly, quarterly and annual planning processing including Monthly Forecast, Inventory Line of Credit, and Budget.
Support executive level presentations such as Quarterly Business Reviews, and hindsight recaps as needed.
Assist in driving strategic decision-making using data-driven insights.
Leverage analytic tools & insights to influence long range strategies across products, markets and channels.
Establish a track record of clear communication up, down and across the organization.
2-3 years of related experience
Bachelor's degree required
Deep financial business acumen. Possesses a clear understanding of financial measurements which could include; sales, gross margin, weeks of supply etc. and how to impact them.
Ability to negotiate, influence, and drive change across all level of the organization, as well as develop and maintain strong working relationships with peers and cross-functional partners.
Strong working knowledge of analytical tools, such as MS Excel, MS Access & Power BI. Experience with data visualization strongly preferred. Experience with advanced analytical tools such as SQL, Python and R a plus.
Desire to innovate/evolve tools and processes.