Sr. Operations Engineer, NA Engineering, Last Mile

Amazon • Nashville, TN

3d

About The Position

We are looking for an innovative, highly motivated and experienced engineer who
can think holistically through multidimensional problems. The ideal candidate
will have expertise in system integration, gap identification both tactical and
strategic, with continuous improvement mindset. You will work closely with
engineering teams, product managers, program managers, business development
managers and org leaders to deliver end-to-end data driven solutions aimed at
continuously enhancing overall business of Last Mile engineering. In this role,
you will dive deep into disparate datasets to improve our understanding of
various teams and processes involved in Last Mile delivery, build
decision-driven analytics that systematically track the overall quality of the
Last mile business and program health, improve tooling to reduce cognitive load
for our engineers, and extract actionable insights to drive deliverables. You
will work on web development, QuickBase reporting mechanisms and backend systems
to optimize Last mile engineering efforts.

The Performance Engineering and Quality Assurance team is focused on measuring
and continuously improving the performance of Amazon’s Last Mile delivery
station processes and operational layouts across safety, cost, associate
experience, and efficiency metrics. You will work closely with stakeholders to
translate business requirements into scalable, automated solutions that enable
data-driven decision making.

As an Amazon Operations Engineer you will be working in one of the world's
largest and most complex data warehouse environments. You should have deep
expertise in the design, creation, management, and business use of extremely
large datasets. You should have excellent business and communication skills to
be able to work with business owners to develop and define key business
questions, and to build data sets that answer those questions. You should be
expert at designing, implementing, and operating stable, scalable, low-cost
solutions to flow data from production systems into the data warehouse and into
end-user-facing applications. You should be able to work with business customers
in understanding the business requirements and implementing reporting solutions.
The potential candidate will explore and utilize in-house tools for machine
learning solutions to innovate and find most efficient solution for complex
engineering problems.

Above all you should be passionate about building tools and mechanisms to drive
change by bringing large datasets together and answering complex business
questions.

Requirements

• 5+ years of directly managing and responsible for multiple large projects experience
• 5+ years of Microsoft Office products and applications experience
• 5+ years of maintenance or engineering experience
• Bachelor's degree
• Experience using any of SQL or other analytical tools for conducting data analysis

Nice To Haves

• Master's degree in engineering, mechanical, operations, supply chain, business administration, or equivalent STEM field
• Experience in Lean Management, Six Sigma and other operations engineer tools
• Experience with QuickSight dashboard and visual creation

Responsibilities

• Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions.
• Partner with data engineers to identify the source of data and create a data pipeline to collect necessary business inputs to deliver the analytical product.
• Support pilot studies by building robust pilot analyses plan, data collection processes, and analyzing the output to deliver final recommendations.
• Utilize predictive analytics, machine learning and generative tools to continuously improve the quality of the engineering projects
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
• Design, develop, and implement dashboards, reports, and analytical tools to support the design and process engineering teams.
• Maintain and enhance existing products.
• Apply advanced analytics techniques, including predictive modeling and machine learning, to uncover meaningful trends and recommend impactful improvements.
• Ensure solutions are scalable, maintainable, and follow best practices in data management and visualization.
• Continuously optimize data pipelines, reporting processes, and analytical workflows to improve operational efficiency.
• Mentor and share knowledge with the broader team of process and design engineers.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level