Supply Chain Data Analyst

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

What You Will Do

• Decompose bills of material to component and raw material level
• Map parts and materials to supplier, program, and country-of-origin records
• Build and maintain the traceability dataset; identify gaps and route them to outreach
• Reconcile supplier-returned data against internal records
• Produce status and exposure reporting for program leadership
• Support development of dashboards and standard reports

• Bachelor’s degree in supply chain, business, engineering, information systems, or equivalent experience
• 2+ years in data analysis, supply chain analytics, materials planning, or a similar analytical role
• Strong Excel skills required; SQL, Power BI, or Tableau strongly preferred
• Experience working with BOMs, part masters, ERP data, or comparable structured product data
• Detail-oriented with demonstrated accuracy on large datasets

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

Work Requirements

We offer flexible work options, including remote arrangements, to support the need of the role and align with company policies.

Travel Requirements

Due to the nature of the work, no travel is required.

Citizenship Requirements

Due to the nature of the work, U.S. citizenship is required.

Benefits

Full-time (Regular)

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Vision insurance
• Short/Long Term Disability