Senior Supply Chain Analytics & Automation Lead

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

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.