Job Title: Plan Optimization Analyst Location: Preferred locations: Luxembourg, Milan. This is a fixed term contract with 6 months of employment.
At Amazon, we are working to be the most customer-centric company on earth, where customers can find and discover anything they might want to buy online. The goal of Amazon Logistics (AMZL) is to build a world-class last mile operation, exceeding the expectations of our customers by ensuring that their orders are delivered as quickly, accurately, and cost-effectively as possible.
We are now looking to hire a passionate, innovative, and customer-obsessed candidate to support our end-to-end network planning and optimization. As a Plan Optimization Analyst, you will work with software engineers, product managers, and business teams to understand the requirements/current challenges, distill that understanding into actionable and executable technical projects, and develop innovative solutions to achieve an end-to-end planning and execution integration across the whole fulfillment pipeline.
Key Job Responsibilities:
Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the last-mile operations of Amazon. Lead complex time-bound, long-term as well as ad-hoc analyses to assist decision making. Communicate to leadership results from business analysis, strategies, and tactics. A day in the life:
The role will own the approval from senior functional leaders to enable strategies to improve processes and performances. You will be a natural self-starter who is comfortable supporting complex cross-functional projects and action plans. You will have a true hands-on approach, the ability to generate solutions, strong process management skills, and be an effective communicator.
In order to be successful in this position, you need to be comfortable interfacing with senior stakeholders as well as driving various functional teams and individuals at all levels of the organization. Keeping an open mind, sense of humor, drive, and ambition will help you remain innovative in our culture. This will be an exciting opportunity for you to possess a high level of autonomy, drive real operational improvements while managing a variety of job responsibilities.
About the Team:
Network Process Optimization (NPO) relentlessly improves quality and robustness of processes in network planning. To achieve this, Plan Optimization Analysts stay in the trenches with business to feel their pain and work with tech teams to deliver the right tools for the job. Key pillars are: i) identifying research projects which are most relevant for business, ii) bridging business needs with solution complexity to find the best trade-off between development times and impact, iii) enforcing that the design works backward from the final users.
Minimum Requirements:
Bachelor's degree, or equivalent Experience in deep diving operational metrics and problem solving. Experience with some programming language (Java/Python/C++) Experience leading and interacting with cross-functional teams Proficient with Microsoft Excel Fluent in written and spoken English Preferred Qualifications:
Master's degree, or equivalent Academic or work experience on Optimization Research Presentation skills Good organization skills and ability to organize and manage multiple tasks simultaneously Good oral and written communication skills, as well as ability to think clearly, analyze quantitatively and problem-solve Business judgment, ability to influence others, and good analytical thinking skills Ability to evaluate priorities appropriately, apt at resolving conflict and to communicate intentions clearly, delivering within time constraints 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 Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
#J-18808-Ljbffr