NASC Engineering Sort Ops Eng Engineering Capacity Planning NASC Engineering
NASC Engineering Sort Ops Eng Engineering Capacity Planning NASC Engineering
Posted on :
13-04-2025
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1 Vacancy
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Job Description
Job Summary:
Were seeking a technically proficient Operations Engineer to drive datadriven improvements across our sort center network. This role sits at the intersection of operations engineering and analytics utilizing Python SQL and visualization tools to transform complex operational data into actionable insights.
The ideal candidate will partner with multiple stakeholders to validate designs optimize processes and deliver evidencebased solutions that enhance our operational efficiency. This position plays a crucial role in connecting daytoday operations with longterm strategic planning through datadriven decision making.
Key job responsibilities
Key Responsibilities:
Operational Analytics & Process Improvement:
Lead data analysis initiatives using Python and SQL to identify operational trends and improvement opportunities
Develop and maintain dashboards and visualizations in QuickSight to monitor key performance metrics
Create evidencebased models to optimize sort center operations and material flow
Transform complex operational data into clear actionable narratives for stakeholders
Crossfunctional Partnership:
Serve as the primary technical liaison between Operations Supply Chain and Design Engineering teams
Partner with Sales and Operations Planning to align operational capabilities with strategic objectives
Collaborate with material flow teams to optimize sort center throughput and efficiency
Support longterm planners with datadriven insights for capacity planning
Design Validation & Implementation:
Review and validate sort center designs from an operational perspective
Ensure operational requirements are properly translated into design specifications
Analyze historical data to inform future design decisions
Provide quantitative feedback on design performance and opportunities for improvement
Program Monitoring & Reporting:
Develop and maintain programmatic monitoring systems for sort center performance
Create automated reporting solutions using Python and SQL
Build interactive dashboards to track key metrics and project progress
Generate regular performance reports with clear insights and recommendations
Continuous Improvement:
Identify opportunities for process automation and efficiency gains
Lead datadriven experiments to test and validate improvement hypotheses
Document and share best practices across the network
Maintain and update operational standards based on analytical findings
A day in the life
As an Operations Analytics Engineer your day centers around analyzing weekly trends and solving operational challenges. You start by reviewing the latest weekly performance reports identifying any significant shifts in sort center efficiency or throughput.
Throughout the day youll dive into data using Python and SQL to investigate recurring issues or bottlenecks identified by operations teams. Youll create visualizations in QuickSight to clearly communicate your findings to stakeholders.
A significant portion of your time is spent collaborating with Sales and Operations Planning teams providing datadriven insights to support capacity planning and forecasting. Youll also work closely with longterm planning groups using your analytical skills to inform strategic decisions about network growth and optimization.
When operational problems arise youll be called upon to conduct rapid analysis drawing from historical data to propose evidencebased solutions. Your day often includes crossfunctional meetings where you present your latest analyses and recommendations translating complex data into actionable insights for leadership.
This role requires you to balance strategic analytical projects with responsive problemsolving always with an eye towards improving sort center operations through datadriven decision making.
Bachelors Degree in Industrial Engineering Mechanical Engineering or other STEM field
8years of experience as a Project Engineer Process Engineer Project Manager Manufacturing Engineer or related occupation
Experience managing the lifecycle of crossfunctional projects implementing automated equipment and/or integrated systems
Experience with CAD software (AutoCAD REVIT BIM 360 etc.
Masters degree in engineering mechanical operations supply chain business administration or equivalent STEM field
Experience in Lean Management Six Sigma and other operations engineer tools
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $107600/year in our lowest geographic market up to $177900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Were seeking a technically proficient Operations Engineer to drive datadriven improvements across our sort center network. This role sits at the intersection of operations engineering and analytics utilizing Python SQL and visualization tools to transform complex operational data into actionable insights.
The ideal candidate will partner with multiple stakeholders to validate designs optimize processes and deliver evidencebased solutions that enhance our operational efficiency. This position plays a crucial role in connecting daytoday operations with longterm strategic planning through datadriven decision making.
Key job responsibilities
Key Responsibilities:
Operational Analytics & Process Improvement:
Lead data analysis initiatives using Python and SQL to identify operational trends and improvement opportunities
Develop and maintain dashboards and visualizations in QuickSight to monitor key performance metrics
Create evidencebased models to optimize sort center operations and material flow
Transform complex operational data into clear actionable narratives for stakeholders
Crossfunctional Partnership:
Serve as the primary technical liaison between Operations Supply Chain and Design Engineering teams
Partner with Sales and Operations Planning to align operational capabilities with strategic objectives
Collaborate with material flow teams to optimize sort center throughput and efficiency
Support longterm planners with datadriven insights for capacity planning
Design Validation & Implementation:
Review and validate sort center designs from an operational perspective
Ensure operational requirements are properly translated into design specifications
Analyze historical data to inform future design decisions
Provide quantitative feedback on design performance and opportunities for improvement
Program Monitoring & Reporting:
Develop and maintain programmatic monitoring systems for sort center performance
Create automated reporting solutions using Python and SQL
Build interactive dashboards to track key metrics and project progress
Generate regular performance reports with clear insights and recommendations
Continuous Improvement:
Identify opportunities for process automation and efficiency gains
Lead datadriven experiments to test and validate improvement hypotheses
Document and share best practices across the network
Maintain and update operational standards based on analytical findings
A day in the life
As an Operations Analytics Engineer your day centers around analyzing weekly trends and solving operational challenges. You start by reviewing the latest weekly performance reports identifying any significant shifts in sort center efficiency or throughput.
Throughout the day youll dive into data using Python and SQL to investigate recurring issues or bottlenecks identified by operations teams. Youll create visualizations in QuickSight to clearly communicate your findings to stakeholders.
A significant portion of your time is spent collaborating with Sales and Operations Planning teams providing datadriven insights to support capacity planning and forecasting. Youll also work closely with longterm planning groups using your analytical skills to inform strategic decisions about network growth and optimization.
When operational problems arise youll be called upon to conduct rapid analysis drawing from historical data to propose evidencebased solutions. Your day often includes crossfunctional meetings where you present your latest analyses and recommendations translating complex data into actionable insights for leadership.
This role requires you to balance strategic analytical projects with responsive problemsolving always with an eye towards improving sort center operations through datadriven decision making.
Bachelors Degree in Industrial Engineering Mechanical Engineering or other STEM field
8years of experience as a Project Engineer Process Engineer Project Manager Manufacturing Engineer or related occupation
Experience managing the lifecycle of crossfunctional projects implementing automated equipment and/or integrated systems
Experience with CAD software (AutoCAD REVIT BIM 360 etc.
Masters degree in engineering mechanical operations supply chain business administration or equivalent STEM field
Experience in Lean Management Six Sigma and other operations engineer tools
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $107600/year in our lowest geographic market up to $177900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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