Data Analyst - Supply Chain

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

We are looking for a Data Analyst - Supply Chain to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team that is committed to delivering best in class service to our customers.

In This Role

In this role, you will support supply chain and operations teams by ensuring critical data is accurate, complete, and available ahead of project launches. You will work hands‑on with complex, often messy datasets to build and maintain Bills of Materials (BOMs), support operational reporting, and develop insights through dashboards and analytics. This role blends technical data work with cross‑functional collaboration, helping stakeholders make informed, data‑driven decisions.

Key Responsibilities

• Support supply chain operations by collecting, validating, and maintaining critical datasets required for upcoming initiatives and launches
• Build, maintain, and improve Bills of Materials (BOMs) to ensure supply chain data accuracy
• Develop and maintain Power BI dashboards to provide operational and supply chain insights
• Analyze inconsistent or incomplete datasets and implement improvements to data quality and reliability
• Coordinate changes to databases, including testing and implementation of updates
• Design, implement, and maintain database structures and ETL processes to support large‑scale data needs
• Write logical and physical database descriptions and define identifiers for database management systems
• Modify and optimize existing databases and reporting processes as business needs evolve
• Partner with technical, business, and operations stakeholders to define requirements, metrics, and reporting standards
• Test data systems and reports, troubleshoot issues, and implement corrections as needed

Required Qualifications

• Bachelor’s degree in a technical or quantitative field such as Computer Science, Data Analytics, Engineering, or a related discipline
• 0–2 years of applicable professional experience in data analysis, analytics, or database support
• Strong experience using Power BI, including building dashboards and working with DAX
• Working knowledge of SQL for querying and analyzing data
• Advanced proficiency in Microsoft Excel, including pivot tables, lookup functions, and data manipulation
• Demonstrated ability to work with messy, inconsistent, or incomplete datasets and improve data accuracy
• Understanding of database technologies and ETL concepts
• Strong analytical, troubleshooting, and problem‑solving skills
• Ability to communicate data insights effectively to non‑technical stakeholders

Preferred Qualifications

• Experience supporting data analy