Supply Chain Analyst 3 [AQ-24432]

Aquent; Beaverton (OR); On-site; USD 130,000 - 190,000; Full time

Job summary

Nike Beaverton, OR seeks a Senior Data Analytics Engineer to lead advanced analytics and AI initiatives across the global supply chain. You will architect scalable data solutions, automate reporting, and empower decision-makers with insights that drive efficiency and innovation.

Proficiency in SQL, Python, and Databricks is required, along with experience using AI-assisted tools and delivering executive-ready narratives. This role emphasizes leadership and cross-functional collaboration.

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 scope.
• Expert-level SQL proficiency for complex querying and pipeline development.
• Strong Python for automation, modeling, and application logic.

Responsibilities

• Define and implement the reporting and automation strategy for material operations, prioritizing key initiatives and data quality standards.
• Design, build, and operate real-time reporting and decision-support experiences on modern data platforms.
• Architect and automate end-to-end data workflows to reduce manual effort and accelerate insights.
• Leverage SQL, Python, and Databricks to transform large-scale supply chain datasets into scalable analytics solutions.
• Lead AI-assisted development initiatives using Cursor and GitHub Copilot for automation and coding standards.
• Translate complex supply chain data into clear narratives for senior leadership and stakeholders.

Skills

SQL

Python

Data storytelling

Excel

Data visualization

Education

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

Tools

Databricks

Cursor

GitHub Copilot

Git

Excel

Job description

Aquent is proud to partner with a global leader in consumer goods, renowned for its relentless innovation and unwavering commitment to excellence. This organization is actively redefining the future of global supply chain efficiency, driving significant business impact and operational excellence within a world-class enterprise. If you’re ready to be at the forefront of revolutionizing a global supply chain, this is an unparalleled opportunity to join a pioneering team where your contributions will be pivotal in transforming complex data into actionable strategies, directly influencing high-level decision-making and optimizing critical processes.

In this dynamic role, you will lead the charge in integrating advanced analytics and AI into core operations, making a tangible difference in how materials are managed across a vast global network. You will transcend mere data analysis, architecting innovative solutions, driving strategic initiatives, and empowering 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.

Your Impact

• 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.
• Design, build, and operate world-class reporting and decision-support experiences on modern data platforms, delivering real-time visibility into critical key performance indicators, emerging trends, and significant performance opportunities.
• Architect and automate end-to-end data workflows to drastically reduce manual effort, enhance reliability, and accelerate insights across the material organization, 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 material 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 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.

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.