Position:
Lean Advisor I at DHL Supply Chain
Location:
United States
Found email addresses for Matthew Schulz:
Found phones for Matthew Schulz:
Apr 2025 - Current
Jul 2023 - Apr 2025
Jun 2022 - Aug 2022
Their professional focus is Business Process Improvement, Exploratory Data Analysis, and Industrial Engineering across 3 core areas.
Bachelor of Business Administration - BBA at The University of Georgia
What is Matthew Schulz's email address?
SignalHire found verified email addresses for Matthew Schulz, both business and personal. Their business email is m************z@dhl.com, and personal emails include s***@hotmail.com, m***@emergemarket.com, and m***@aol.com.What is Matthew Schulz's phone number?
SignalHire found multiple verified phone numbers for Matthew Schulz: +1-480-***-**63, +1-480-***-**82, and +1-323-***-**92.How do I contact Matthew Schulz at DHL Supply Chain?
You can reach Matthew Schulz through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Matthew Schulz's professional background?
Matthew Schulz has 4 years of professional experience. They have held roles including Lean Advisor II, and Supply Chain Analyst Intern at companies such as DHL Supply Chain, and Emerge. Their education includes Bachelor of Business Administration - BBA from The University of Georgia.Is Matthew Schulz's contact information up to date?
Yes. Matthew Schulz's SignalHire profile was last updated on 19 May 2026, reflecting their current position as Lean Advisor I at DHL Supply Chain in Bonn, Germany.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.