Tron Analyst

Job description

DESCRIPTION

The TRON team is an initiative which partners with the Amazon Robotics team to remotely handle exceptions in the Amazon Robotic Fulfillment Centers in North America.The TRON technology enables the human supervisory control of automated tasks. In the TRON system, a remote associate provides supervisory control when automated tasks fail for any reason. This allows us to avoid falling into the 90/10 trap where a task can be 90% automated but requires 90% of the time for the last 10% of functionality. Our strategy is to employ a human-as-sensor model and allow humans to perform just those portions of a task that require higher order cognitive ability.

The TRON system is a technology which enables the human supervisory control of automated tasks. In the TRON system, a remote associate provides supervisory control when automated tasks fail for any reason. This allows us to avoid falling into the 90/10 trap where a task can be 90% automated but requires 90% of the time for the last 10% of functionality. Our strategy is to employ a human-as-sensor model and allow humans to perform just those portions of a task that require higher order cognitive ability.

This is an operational role.

Job Description Responsibilities include, but are not limited to:

· Understand the issue and make best use of the available resources to resolve it.
· Able to systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard.
· Excellent communication, both verbal and written as you will be required to communicate with internal and external stakeholders.
· Understand performance metrics to create analysis allowing to drive business results.
· Drive results in live environment.
· Analyze and detect exceptions.
· Meets predetermined and assigned productivity targets and quality standards.
· Fungible to transition within work types, flexibility to work across shifts.
· Understands and adheres to SOP.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree with excellent academic record.
· 0-24 months of work experience.
· Ability to handle and interpret large sets of data.
· Demonstrated ability to work in a team in a very dynamic environment.