Supply Chain Analyst 3

Aquent is partnering with a global leader in consumer goods, renowned for its innovation and commitment to excellence. This is an unparalleled opportunity to join a team that is redefining the future of global supply chain efficiency. We are seeking a visionary professional who will directly shape how materials are sourced and planned, leveraging cutting-edge data platforms and AI-assisted development. Your contributions will be pivotal in transforming complex data into actionable strategies, directly influencing high-level decision-making and optimizing critical supply chain processes to drive significant business impact and operational excellence.

Are you ready to be at the forefront of revolutionizing a global supply chain? In this dynamic role, you will lead the charge in integrating advanced analytics and AI into core operations, making a tangible difference in how a world-class organization manages its materials. You will not just analyze data; you will architect solutions, drive strategic initiatives, and empower decision-makers with insights that propel the business forward. This is your chance to leave a lasting impact on efficiency, innovation, and strategic foresight within a truly global enterprise.

What You'll Do

• Define and implement the reporting and automation strategy for materials operations, prioritizing initiatives and establishing standards for data quality, documentation, and reusable patterns.
• Design, build, and operate world-class reporting and decision-support experiences using modern data platforms, delivering real-time visibility into key performance indicators, trends, and performance opportunities.
• Architect and automate end-to-end data workflows to reduce manual effort, improve reliability, and accelerate insights across the materials organization, managing critical pipelines from requirements to production support.
• Leverage advanced data querying and modeling techniques with SQL, Python, and Databricks to transform large-scale supply chain datasets into scalable, governed, and repeatable analytics.
• Lead AI-assisted development initiatives, utilizing tools like Cursor and GitHub Copilot to rapidly prototype, refine, and maintain automation solutions, ensuring high code quality and maintainability.
• Identify, design, and lead high-impact process improvement initiatives in collaboration with materials planning stakeholders, translating operational challenges into robust technical solutions with measurable outcomes.
• Craft compelling, executive-ready data narratives for senior leadership, employing best-in-class visualization and storytelling to drive alignment and action.
• Serve as a senior subject matter expert for analytical and automation tools, establishing technical standards, documentation, and delivering modern solutions for sourcing and planning.

Must-Have Qualifications

• Bachelor's or Master's degree in Business, Data Science, Supply Chain, Engineering, or a related field; equivalent experience will be considered.
• Minimum of 5+ years of experience in data analytics, analytics engineering, process improvement, or supply chain operations, with demonstrated leadership or senior individual contributor scope.
• Expert-level proficiency in SQL for data querying, manipulation, and pipeline development.
• Strong proficiency in Python for automation, data modeling, and application logic.
• Hands-on experience building and operating production analytics experiences in Databricks, including interactive reporting and operational dashboards.
• Proven ability to utilize AI-powered development environments (e.g., Cursor, GitHub Copilot) to design, build, and maintain business automation and analytical pipelines.
• Comfort working with Git-based collaboration tools (e.g., GitHub) for version control, code review, and repeatable deployment.
• Track record of translating complex, multi-dimensional supply chain data into clear, actionable narratives for both technical and non-technical audiences.
• Experience leading end-to-end process improvement or transformation initiatives, including discovery, design, implementation, and change management.
• Strong ability to take business processes and lead improvement initiatives.
• Excellent Excel skills for data analysis and reporting.

Nice-to-Have Qualifications

• Experience in materials planning, strategic sourcing, or supply chain analytics.
• Ability to critically evaluate AI-generated insights and ensure the accuracy and reliability of AI-powered tools.
• Demonstrated independence in working within ambiguous environments.
• Experience in the athletic footwear and apparel industry.