DESCRIPTION

Are you interested in working on a fast-paced team that pioneers ways to improve compliance within North American Surface Transportation? Do you have a passion for deep diving data and crunching numbers? Are you motivated to work on challenging problems or develop innovative solutions for Amazon’s supply chain? This is what the role is all about!
The NAST Compliance team is seeking a highly skilled and motivated data analyst to support business initiatives by identifying and analyzing data, driving process improvements, and eliminating defects. The person in this role will use their understanding of different business models and the underlying analytics to assimilate new methodologies and data sources.

Key job responsibilities

• Partner with compliance leaders to create key performance indicators and new methodologies for measurement.
• Understand data sources and pull necessary data to drive the decision-making process.
• Translate data into actionable insights for the stakeholders.
• Automate reporting for weekly business metrics; identify areas of opportunity to automate and scale ad-hoc analyses.
• Automate existing manual workstreams through dashboard development, ensuring data feeds the right systems to drive business decisions.

About the team
North American Surface Transportation Compliance is a dynamic, complex team with a focus on maintaining compliance of Amazon’s 3P Relay network through disruption management, insurance & regulatory compliance, BASIC & Safety compliance, and adherence to Relay Program Policy.

BASIC QUALIFICATIONS

• 2+ years of professional or military experience
• 2+ years of working with computers and Microsoft Office products and applications experience
• Experience with Microsoft Office products and applications
• 2+ years of experience in a business analyst/data analyst/statistical analyst role, conducting analysis, data mining using Excel, extracting & processing data using SQL, and dashboard development, including Tableau.

PREFERRED QUALIFICATIONS

• Bachelor’s degree or equivalent
• 3+ years of relevant experience in a business analyst/data analyst/statistical analysis role.
• Understanding of data warehousing and data modeling.
• Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.).
• Excellent communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams.
• Ability to deal with ambiguity and competing objectives in a fast paced environment.
• Software development experience / Coding knowledge
  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $42,000/year in our lowest geographic market up to $79,800/year 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. This position will remain posted until filled. Applicants should apply via our internal or external career site

• Partner with compliance leaders to create key performance indicators and new methodologies for measurement.
• Understand data sources and pull necessary data to drive the decision-making process.
• Translate data into actionable insights for the stakeholders.
• Automate reporting for weekly business metrics; identify areas of opportunity to automate and scale ad-hoc analyses.
• Automate existing manual workstreams through dashboard development, ensuring data feeds the right systems to drive business decisions