An ideal candidate has a background in transportation and excellent data driven problem resolution skills. He/she has the ability to pull and analyze data with ease, drive process improvements, standardize our processes and eliminate the root cause of defects within the current systems. This job will require exceptional communication skills while having the ability to work independently in a high pressure environment.
Key job responsibilities
- Continual, tactical communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers)
- Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed
- Publish performance metrics to assist with driving business results
- Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations
- Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data
- Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
- Excellent communication, both verbal and written as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum
BASIC QUALIFICATIONS
- 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience
- High school or equivalent diploma
- Work 40 hours/week, and overtime as required
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Are 18 years of age or older
PREFERRED QUALIFICATIONS
- Data management & data quality control experience with experience pulling and analyzing large sets of data, SQL experience
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