Logistics Process Optimization Manager, Amazon Shared Mobility (Sofort einstellen) - Amazon TA

We are seeking a Process Improvement Specialist to streamline and elevate our

processes and drive program improvement and optimization within the Amazon

Shared Mobility Partner business in Germany. The Manager will be strong with

data, automation tools and SQLPython to automate our processes and increase

our efficiency to enable us to deliver bigger results.

The Amazon Shared Mobility Partner program is a new model to enable Amazon to

support speed initiatives and on demand capacity in the European Union. This

entails partnering with multi-use fleet operators with employed drivers

working for other delivery mobility platforms to solve day of variability

and support the EU Same Day (SD) Go Big plan. This program is powered by a

mobile app that works in concert with our advanced logistics systems that

allows SMPs to on-board, schedule delivery times, guide them through their

deliveries with in-app mapping and navigation, and more. The approach and

technology are disruptive and promise to challenge traditional approaches,

changing the way the industry operates.

The successful candidate will be self-motivated, passionate, analytical and

detail-oriented, possess superior interpersonal and communication skills, and

be comfortable working independently to drive growth and change in a fast-

paced environment. An extreme bias for action and being with data is an

absolute must, and candidates must demonstrate a track record of delivering

results.

Key job responsibilities

Find opportunities to automate and optimize existing Last Mile processes. This

includes, but not limited to, our scheduling, labor planning, routing capacity

management and forecasting.

You will partner with the Amazon Logistics DE team to deploy program, process

and station improvements. The successful candidate will also manage AMZL and

SSD-D stations where we operate this program by partnering with station

operations in order to improve the driver experience under the roof,

optimizing scheduling processes and enhancing driver capacity in order to hit

cost, safety, quality targets for the program. Another part of the role will

be recommending changes and using your project management and stakeholder

management skills to put new processes in place.

Partner with WW Flex Last Mile teams to understand common challenges to adopt

standard practice and identify opportunities to collaborate with tech teams to

build automated tooling and solutions to hand off our processes.

A day in the life

As a Process Improvement Specialist , you’ll be at the forefront of making

Amazon’s logistics better which means improving safety, productivity, and

quality.

You will partner with the Amazon Logistics DE team to deploy program, process

and station improvements. The successful candidate will also manage 3P partner

suppliers by optimizing scheduling and routing and enhancing driver capacity

in order to hit cost, safety, quality targets for the program. Another part of

the role will be recommending changes and using your project management and

stakeholder management skills to put new processes in place.

The successful candidate will be based in Munich, DE. The candidate will be

expected to visit Delivery Stations across Germany. 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.

About the team

BASIC QUALIFICATIONS

• A degree
• Advanced data-related skills including Excel, Python, SQL.
• Relevant experience in using data or anecdotal evidence to influence

business decisions.

Relevant experience of communicating with a wide range of stakeholders,

including your peers and leadership

• Valid Full UK Driving License.
• Advanced proficiency in document writing.

PREFERRED QUALIFICATIONS

Degree in business, supply chain, transportation, economics or a technical

field.

• Experience manipulating and presenting data with Excel.
• Experience in Lean, Six Sigma and Kaizen techniques
• Experience with supporting tools (e.g., Minitab, JMP, MS Access).

Amazon is an equal opportunities employer. We believe passionately that

employing a diverse workforce is central to our success. We make recruiting

decisions based on your experience and skills. We value your passion to

discover, invent, simplify and build. Protecting your privacy and the security

of your data is a longstanding top priority for Amazon. Please consult our

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