Supply Chain Analyst 3 [AQ-22960]

Aquent; Beaverton (OR); On-site; USD 150,000 - 190,000; Full time

Job summary

Aquent partners with a global leader in consumer goods to redefine supply chain efficiency. As a Senior Analytics and Automation lead, you will shape how materials are sourced and planned, using advanced data platforms and AI to turn complex data into actionable strategies.

You will design end-to-end data workflows, build real-time dashboards, mentor teams, and present executive-ready insights to influence high-level decisions across a truly global enterprise.

Qualifications

• Bachelor’s or Master’s degree in Business, Data Science, Supply Chain, Engineering, or related field.
• 5+ years in data analytics, analytics engineering, or supply chain ops with leadership or senior IC scope.
• Expert-level SQL for data querying, manipulation, and pipeline development.
• Strong Python for automation, data modeling, and application logic.
• Experience building production analytics in Databricks with dashboards.
• Proven ability to use AI-assisted development environments (Cursor, GitHub Copilot).
• Proficiency with Git for version control and deployment.
• Ability to translate complex data into clear narratives for technical and non-technical audiences.
• Experience leading end-to-end process improvement initiatives.
• Excellent Excel skills for data analysis and reporting.

Responsibilities

• Define and implement reporting and automation strategy for materials operations.
• Design, build, and operate reporting and decision-support experiences with real-time KPIs.
• Architect end-to-end data workflows to reduce manual effort and accelerate insights.
• Leverage SQL, Python, and Databricks to transform large-scale datasets into scalable analytics.
• Lead AI-powered development initiatives using Cursor and GitHub Copilot.
• Identify, design, and lead high-impact process improvement initiatives with stakeholders.
• Craft executive-ready data narratives to drive alignment and action.
• Serve as senior SME for analytical and automation tools, establishing standards and docs.

Skills

SQL

Python

Excel

Data storytelling

Leadership

Education

Bachelor’s or Master’s degree in Business, Data Science, Supply Chain, Engineering, or related field

Tools

Databricks

GitHub Copilot

GitHub

Job description

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.

Client Description

Global leader in athletic footwear, apparel, and equipment. Our client focuses on innovation, performance, and marketing, partnering with top athletes and teams. The company emphasizes sustainability and digital advancements to enhance the sports experience.