Operations Engineer II - AMZ23541.3

About the role

The Operations Engineer II is responsible for analyzing and optimizing the network capacity of multiple last-mile delivery stations. They collaborate with cross-functional teams to build consensus and develop capacity strategies. The role involves providing technical leadership, formulating advanced mathematical models, gathering and analyzing data, and driving informed decision-making processes.

Responsibilities

• Analyze and optimize the network capacity of multiple last-mile delivery stations by collaborating with cross-functional teams.
• Provide technical leadership and guidance for large-scale engineering projects.
• Formulate and apply advanced mathematical modeling techniques to shape and drive innovative retail initiatives.
• Gather input and statistical data from various divisions to provide solutions for improving customer experience and market acquisition.
• Utilize statistical analysis to construct complex models for vendor relationships and resource allocation.
• Collaborate with senior leaders to drive informed decision-making processes.
• Drive progress across multiple parallel efforts, manage priorities, and foster effective relationships with other teams.
• Hold partner teams accountable for delivering project roadmaps and ensure adherence to defined milestones and delivery dates.
• Work closely with Robotics, Engineering, and Operations teams to develop impactful products.
• May require domestic or international travel up to 10% to perform role responsibilities.

Requirements

• Master's degree or foreign equivalent in Engineering, Operations Research, Supply Chain Management, Logistics, or related field, with one year of relevant experience.
• Bachelor’s degree in Engineering, Operations Research, Supply Chain Management, Logistics, or related field, with three years of relevant experience.
• Experience in Supply Chain Management, network design, and Logistics operations.
• Advanced Excel modeling skills for large-scale supply chain and e-commerce network optimization.
• Knowledge of data analysis platforms like Red-shift, Python, or equivalent statistical software.
• Proficiency in statistical analysis and predictive modeling techniques.
• Proven ability to implement mathematical optimization and operations research methodologies.
• Demonstrated success in managing high-volume operational events and strategic planning initiatives.
• Experience in leading cross-functional teams across engineering, operations, and product departments.
• Proven ability to build consensus among diverse stakeholder groups and execute complex project roadmaps.
• Experienced in technical writing and leadership presentations.
• Understanding of robotics systems integration within operational environments.

Qualifications

• Must meet all basic qualifications listed above.

Skills

• Advanced Excel modeling skills for large-scale supply chain and e-commerce network optimization.
• Knowledge of data analysis platforms like Red-shift, Python, or equivalent statistical software.
• Statistical analysis and predictive modeling techniques.
• Implement mathematical optimization and operations research methodologies.
• Manage high-volume operational events and strategic planning initiatives.
• Lead cross-functional teams across engineering, operations, and product departments.
• Build consensus among diverse stakeholder groups and execute complex project roadmaps.
• Technical writing and leadership presentations.
• Understand robotics systems integration within operational environments.

Benefits

Base pay range for this position in Bellevue, WA is $112466 - $114900 (yearly); however, the actual pay offered may vary based on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, along with a full range of medical, financial, and/or other benefits, dependent on the position offered.

Pay

(40 hours / week, 8:00am-5:00pm, Salary Range $112466 - $114900)

Schedule

(40 hours / week, 8:00am-5:00pm)

Equal Opportunity Employer

Amazon is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation