Senior Compliance Data Analyst, North American Surface Transportation Compliance

Are you interested in working on a fast-paced team that pioneers ways to improve compliance within North American Surface Transportation (NAST)? 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. An ideal candidate will have a strong understanding of different business models and the underlying analytics, and the ability to assimilate new methodologies and data sources. They will be comfortable with ambiguity, have strong attention to detail, be vocally self-critical, and be able to collaborate with others in a fast-paced and ever-changing environment.

This position is NOT remote and DOES require you to be onsite Nashville, TN, in office five days a week.


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 Safety & Compliance is a dynamic, complex team with a focus on maintaining safety and compliance of Amazon's 3P Relay network through disruption management, insurance & regulatory compliance, BASIC & Safety compliance, and adherence to Relay Program Policy. - High school or equivalent
- Experience in a business analyst/data analyst/statistical analysis role
- Understanding of data warehousing and data modeling
- 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- Bachelor's degree or equivalent
- Experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
- Experience in a machine learning or data scientist role with a large technology company
- Experience leveraging LLMs and developing production GenAI applications
- Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.).
- Software development experience / Coding knowledge

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.

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.