Senior Analyst, Inventory Management (Portland, OR, US)

Purpose: Lead end-to-end inventory management and movement across the NAM market. Drive cross-functional alignment and an omni-channel approach across Inventory, Finance and Supply Chain. Develop inventory strategies, processes and KPIs that support commercial objectives, financial requirements and brand integrity Key Accountabilities: Partner cross-functionally to analyze market inventory by channel and recommend actions that maximize sales, inventory turn and gross margin while supporting commercial objectives and brand integrity. Deliver clear, accurate and actionable inventory data and analysis to support business partners, leadership decisions and commercial planning. Own weekly inventory reporting and provide ad hoc reporting, analysis and technical guidance using SQL, Excel, Power BI and SAP. Develop, support and continuously improve end-to-end inventory health processes and strategies, including planned production, like-for-like analysis, inventory flow, returns and transfers. Drive improvements in inventory reporting and upstream and downstream inventory management to strengthen process efficiency, communication and data accuracy. Align SCM and Inventory teams on consistent data, reporting and insights, and partner with commercial and brand teams to define and execute appropriate actions. Support the integration of U.S. inventory processes into Canada to enable a consistent One NAM approach. Identify roadblocks to stock commercialization, develop solutions and communicate inventory performance, risks and actions through monthly SLT reports and presentations Knowledge Skills and Abilities: Ability to access, integrate and analyze data from varied database structures to produce comprehensive reporting and actionable insights. Strong understanding of end-to-end demand, purchasing and inventory processes. Strong commercial and business acumen, with the ability to resolve stakeholder disconnects and support sound decisions with limited information. Advanced analytical and methodological skills, including data analysis and trend forecasting. Strong interpersonal, relationship-management and facilitation skills, with the ability to collaborate effectively across functions. Clear written and verbal communication and presentation skills. Proficiency with Microsoft Office and merchandising or data applications, including Power BI, Databricks, SAP and SQL. Advanced Excel skills, including macros, pivot tables, lookup formulas and formatting. General understanding of artificial intelligence (AI), machine learning, and generative AI concepts, with the ability to identify opportunities where AI, automation, and emerging technologies can improve forecasting, inventory management, productivity, and decision-making. Strong planning, organization and attention to detail, with the ability to meet critical deadlines; fluent in written and spoken English.\ At adidas we offer a Hybrid work policy which requires attendance in the office Monday through Thursday, with the flexibility to work remotely on Friday each week. For work requiring a high degree of collaboration or an in-person presentation, in-office attendance is required even on Friday. Qualifications: <ul style="margin-bottom: