Supply Chain Analyst 3

Aquent is proud to partner with a global leader in consumer goods, renowned for its relentless innovation and unwavering commitment to excellence, to find a talented professional ready to revolutionize global supply chain efficiency. In this dynamic role, you will have a profound impact by integrating advanced analytics and AI into core operations, transforming complex data into actionable strategies that directly influence high-level decision-making and optimize critical processes across a vast global network.

The Opportunity

Step into a collaborative and forward-thinking environment where you will transcend mere data analysis to architect innovative solutions and drive strategic initiatives. You will design, build, and operate world-class reporting and decision-support experiences on modern data platforms, delivering real-time visibility into critical performance indicators and emerging trends. By automating end-to-end data workflows, you will drastically reduce manual effort, enhance reliability, and accelerate insights that propel the business forward.

What You'll Do

• Define and implement the reporting and automation strategy for material operations, prioritizing key initiatives and establishing robust standards for data quality, comprehensive documentation, and reusable patterns.
• Architect and automate end-to-end data workflows to drastically reduce manual effort, enhance reliability, and accelerate insights, taking ownership of critical pipelines from initial requirements to ongoing 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 solutions.
• Lead AI-assisted development initiatives, skillfully utilizing cutting-edge tools like Cursor and GitHub Copilot to rapidly prototype, refine, and maintain automation solutions, ensuring the highest standards of code quality and maintainability.
• Identify, design, and lead high-impact process improvement initiatives in close collaboration with planning stakeholders, expertly translating complex operational challenges into robust technical solutions with clear, measurable outcomes.
• Craft compelling, executive-ready data narratives for senior leadership, employing best-in-class visualization and storytelling techniques to drive alignment and decisive action.
• Serve as a senior subject matter expert for analytical and automation tools, establishing technical standards, comprehensive documentation, and delivering modern solutions for sourcing and planning functions.

What You'll Bring

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

Bonus Points

• Experience in materials planning, strategic sourcing, or advanced supply chain analytics.
• Ability to critically evaluate AI-generated insights and ensure the accuracy and reliability of AI-powered tools in practical applications.
• Demonstrated independence and effectiveness when working within ambiguous environments.