Channel Ops Manager
DESCRIPTION
The goal of Amazon’s Global Delivery Strategy Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, we are continually striving to innovate and provide best in class service levels through the introduction of pioneering new products and services.
In this role you will be primarily responsible for tracking key metrics and action items for programs and processes in the Last Mile Operation, such as: Payments, Losses, Delivery Success, Driver Experience, Daily Tracking and Safety/Security Investigation Track, always assuring all teams (internal and external) are aligned with standard procedures and requirements always focusing in customer experience.
Responsibilities include (but are not limited to):
· Ensure to remain customer obsessed.
· Operative discipline monitoring key processes at daily, weekly or monthly cadence.
· Tracking of goals and tasks to guarantee the overall success of the channel.
· Diving Deep capability to determine first level root causes.
· Ability to manage and populate performance reports and dashboards for key metrics.
#AmazonMexico
Key job responsibilities
Ensure that suppliers comply with daily metrics and goals and implement continuous improvement projects that could impact directly in the customer experience of the cities covered in the eDSP program.
We are open to hiring candidates to work out of one of the following locations:
Cuauhtémoc, MEX
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Experience in e-commerce
- 2+ years of program or project management experience
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
PREFERRED QUALIFICATIONS
- MBA
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field