Nike is a leading sportswear company seeking a Materials Planning Operations Analyst to enhance their materials sourcing and planning functions. The Analyst will leverage data analytics and automation to drive efficiency and provide insights that support decision-making across the organization.
You will design, build, and maintain dashboards and reporting solutions that provide Materials Planning teams with real-time visibility into KPIs, trends, and performance opportunities
You will develop and automate data workflows that reduce manual effort and increase speed-to-insight across the materials organization
You will leverage SQL, Python, and Databricks to query, transform, and model large-scale supply chain datasets, enabling scalable and repeatable analytics
You will actively use AI-powered tools such as Cursor and GitHub Copilot to accelerate development, rapidly prototype new solutions, and reinforce a culture of innovation within the team
You will identify, design, and lead process improvement initiatives in partnership with Materials Planning stakeholders to streamline operations, reduce friction, and eliminate inefficiencies
You will craft clear, compelling data stories for senior leadership, applying best-in-class visualization and communication practices to turn analysis into action and alignment
You will serve as a subject matter expert for the Materials Operations Excellence toolset, training and enabling partners across sourcing and planning to adopt new capabilities and ways of working
Qualification
Required
Bachelor's or Master's degree in Business, Data Science, Supply Chain, Engineering, or a related field; will accept any suitable combination of education, experience, and training
Minimum of 2 years of experience in data analytics, process improvement, or supply chain operations
Proficiency in SQL for data querying, manipulation, and pipeline development
Experience with Alteryx for data blending, workflow automation, and self-service analytics
Experience building and maintaining dashboards and visualizations in Tableau
Familiarity with Databricks for scalable data engineering and Apache Airflow for workflow orchestration
Demonstrated experience leveraging AI-powered development tools (e.g., Cursor, GitHub Copilot, or similar) to accelerate analytical output and improve code quality
Strong ability to translate complex, multi-dimensional data into clear, actionable narratives for both technical and non-technical audiences
Preferred
Experience in materials planning, strategic sourcing, or supply chain analytics
Benefits
Nike is a retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.
