Supply Chain Analyst 3

Aquent; Beaverton (OR); On-site; USD 110,000 - 150,000; Full time

Job summary

Aquent in Beaverton, OR is seeking a Supply Chain Analyst to elevate global supply chain efficiency through advanced data platforms and AI-driven automation. You will transform complex datasets into actionable insights that influence executive decisions and optimize sourcing and planning processes.

You will design and implement reporting, automate data workflows, and build real-time dashboards in Databricks.

Qualifications

• Bachelor’s or Master’s degree in Business, Data Science, Supply Chain, Engineering, or related field.
• 5+ years of data analytics, analytics engineering, or supply chain operations experience.
• 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.
• Proven ability to utilize AI-powered development environments (e.g., Cursor, GitHub Copilot) to design, build, and maintain business automation and analytical pipelines.
• Excellent Excel skills for data analysis and reporting.

Responsibilities

• Define and implement the reporting and automation strategy for materials operations.
• Design, build, and operate reporting and decision-support experiences using modern data platforms.
• Architect and automate end-to-end data workflows for materials planning.
• Lead AI-assisted development initiatives with Cursor and GitHub Copilot.
• Craft executive-ready data narratives for senior leadership.
• Serve as a senior SME for analytical and automation tools for sourcing and planning.
• Translate operational challenges into robust technical solutions with measurable outcomes.

Skills

SQL

Python

Data analytics

Excel

Leadership

Data storytelling

Process improvement

Education

Bachelor’s or Master’s in related field

Tools

Databricks

Cursor

GitHub Copilot

GitHub

Job description

We are seeking a Supply Chain Analyst who will directly shape the future of global supply chain efficiency. You will be at the forefront of leveraging cutting-edge data platforms and AI-assisted development to revolutionize how materials are sourced and planned, driving significant business impact and operational excellence. Your contributions will be pivotal in transforming complex data into actionable strategies, directly influencing decision-making at the highest levels and optimizing critical supply chain processes.

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.

What You’ll Bring

Required Skills & Experience:

• 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.

Preferred Skills:

• 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.