DescriptionDo you want to be part of an organization that is developing and launching new business models? If so, Amazon’s Fill Rate team within Network Engineering & Scheduling Technology (NEST) is looking for an experienced Transportation Specialist with a strong record of achieving results, to own and drive accurate load scheduling processes for a quickly growing business segment. We are looking for a leader who is passionate about building new businesses, solving complex problems for our customers, and establishing end-to-end transportation scheduling processes. Amazon transportation encompasses all of the operations that deliver worldwide shipments to and from our fulfillment centers and third-party locations. The team needs an exceptionally talented, bright, and driven person to design, develop, and improve our transportation scheduling process.Key job responsibilities· 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 is a plus.· Develop and/or understand performance metrics to assist with driving business results.· 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 one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum.We are open to hiring candidates to work out of one of the following locations:Atlanta, GA, USA | Nashville, TN, USA | North Englewood, MD, USA | Seattle, WA, USABasic Qualifications
High school or equivalent diploma
Work 20-29 hours/week, and overtime as required
Intermediate proficiency in Excel, including the use of pivot tables & charts and vlookup
Preferred Qualifications
Bachelor's degree in Engineering, Operations, Logistics, Supply Chain or related field
1+ years work experience in logistics/transportation industry
Experience using SQL, Tableau, and/or Python
Advanced proficiency in Excel, including the use of VBA, Macros, and merging datasets
Data management & data quality control experience with knowledge pulling and analyzing large sets of data
Experience in manufacturing, transportation, customer service, and/or distribution environments
Experience using data to understand root cause of issues and improve processes to prevent recurrence
Experience working independently in a fast-paced environment
Experience communicating professionally and effectively with cross-functional stakeholders
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $17.02/hr in our lowest geographic market up to $32.21/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.
