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Amazon’s global last-mile operation is always evolving. As a Process Improvement Manager, you’ll streamline and elevate our processes. You’ll work with management teams to help us meet a number of operational goals, touching on topics including customer service and productivity. This dynamic role offers plenty of opportunities to continue learning every day.
Key job responsibilities
Plan and implement continuous improvement initiatives designed to innovate the driver experience and make our processes more efficient
Audit processes for compliance and work to close any gaps
Analyse feedback and use data to own and implement process improvements at the site
Work with station management and other stakeholders to identify and solve process-related issues
A day in the life
As a Process Improvement Manager, you’ll be at the forefront of making Amazon’s logistics better – which means improving safety, productivity, and quality. Part of your role will involve running observations and audits to identify where processes could be enhanced. Another part of your role will be recommending changes and using your project management and stakeholder management skills to put new processes in place.
You’ll be based at one of our sites and accountable for positively influencing operational efficiency at the site. If needed, you will carry out analysis at other local or national sites. On top of dealing with productivity and safety, you’ll have the opportunity to share best practices and ideas with our EU network. In this role, you’ll use data to drive improvements and continue to grow our shipping capabilities.
BASIC QUALIFICATIONS
- Speak, write, and read fluently in German
- Speak, write, and read fluently in English
- Bachelor's degree in a relevant field or equivalent work experience
- Experience using data to influence business decisions
- Experience communicating with a wide range of stakeholders, including your peers and leadership
PREFERRED QUALIFICATIONS
- Knowledge of Lean, Six Sigma and Kaizen techniques
- Experience with tools/systems to analyze data including Excel, Access, SQL or other data management systems
