eCommerce Planning Analyst

eCommerce Planning AnalystClient: Worldwide Footwear BrandLocation: Boston, MA, On-site 3 days per week (2 remote)Duration: 6 months+, 40 hours per weekPay Range: $35-$40 per hourTimeline for Hire: Around mid/late NovemberJob DescriptionOur client, a worldwide footwear brand in Boston, is seeking an eCommerce Planning Analyst to support its North American eCommerce team. The position is hybrid on-site 3 days per week with 2 days remote.This role is key to driving business performance through data analysis, financial planning, and strategic insights. You'll work closely with Planning and Merchandising teams to build financial plans, analyze performance, and support both pre-season and in-season strategies across DTC, wholesale, and competitive markets.Key ResponsibilitiesAnalyze weekly sales performance including margin and inventory vs. budget, forecast, and prior year; identify risks and opportunities, and collaborate with cross-functional teams to drive business decisions.Develop and deliver ad hoc reporting on sales activities, pricing, category performance, product sizing, and more; provide actionable insights and communicate findings effectively.Support pre-season and in-season forecasting by building analytical tools using historical data, product plans, site activity, and market trends.Execute plan and forecast updates across planning tools and systems.Assist in coordinating team meetings and presentations.Build strong working relationships with cross-functional partners including Merchandising, CommercialPlanning, Inventory & Demand Planning, Site Experience, Marketing, and Sales Operations.Leverage site and consumer analytics to inform planning and strategy.Collaborate with peers to ensure consistency, share best practices, and enhance systems knowledge.QualificationsBachelor's degree with 1-3 years of experience in buying, planning, inventory management, site analytics, consulting, or finance.Strong financial, analytical, and retail math skills with a desire to grow to expert level.Proficiency in Microsoft Office Suite, especially Excel; ability to learn tools like Adobe Analytics, Power BI, and Edited.Analytical mindset with the ability to identify trends, issues, and opportunities from data.Strong problem-solving and critical thinking skills.Excellent communication and stakeholder management abilities.Proactive, self-starter attitude with a collaborative spirit.