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Transportation Analyst, ATS Fill Rate ID-16549

Description

Do 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 Analyst with a strong record of achieving results, to own and build scalable solutions 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 exemplary analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement.

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Key job responsibilities

  • Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
  • Develop and/or understand performance metrics to assist with driving business results.
  • Monitor existing metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.
  • 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.

Basic Qualifications

  • Experience with SQL
  • Experience managing large data sets and utilizing to drive performance and process improvements
  • Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
  • 1+ years of program management, logistics, operations, supply chain, transportation, or equivalent experience
  • High school or equivalent diploma

Preferred Qualifications

  • Bachelor's degree
  • Experience in Operations, Supply Chain, or Logistics field
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Fluency in a modeling language such as Python or R
  • Experience with statistical analysis, co-relation analysis
  • 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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