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Compliance Analyst, Safety, NAST

Amazon is hiring a Compliance Analyst, Safety, NAST in Nashville, United States. It pays $24-$29/hr and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

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 to drive operational excellence?
Amazon's NAST Safety & Compliance team is seeking a Compliance Analyst to support the day-to-day execution and operational integrity of our Middle Mile transportation safety compliance programs. Working within established workflows and under the guidance of the Sr. Risk Manager, you'll maintain compliance datasets, execute monitoring processes, and provide analytical support that keeps our safety programs running smoothly and audit-ready. Success requires meticulous attention to detail, strong data management skills, and the ability to resolve operational issues before they escalate.


Key job responsibilities
Compliance operations & data quality
• Perform daily compliance operations (SIM intake, case tracking, documentation) per established procedures.
• Maintain accurate, complete compliance datasets through daily updates, validation checks, and quality audits.
• Detect and resolve data quality issues, coordinating with data owners on discrepancies.
• Track compliance workflows to completion, flagging delays and following up to ensure closure.
Reporting & analytics
• Generate and validate weekly/monthly compliance reports using Excel and SQL, ensuring accuracy and timely delivery.
• Translate data into actionable insights and support KPI development in partnership with compliance leaders.
• Identify opportunities to automate and scale reporting and ad-hoc analyses through dashboard development.
• Compile and validate WBR materials (metrics, trend analysis, and action-item status) for leadership review.
Program coordination & stakeholder support
• Coordinate activities across cross-functional compliance programs, communicating status, risks, and delays.
• Build working relationships with internal, partner, and external stakeholders.
• Support mechanisms that uphold Amazon policies related to DOT regulations across the Middle Mile network.
• Schedule and facilitate working sessions, capture notes, track action items, and distribute follow-ups within 24 hours.
• Support third-party vendor interactions on performance metrics, SLAs, and workload volumes.
Process improvement & documentation
• Maintain compliance documentation repositories for internal and external audit readiness.
• Conduct root-cause analysis to correct process defects and recommend improvements; may create new SOPs.
• Assist training teams with compliance data, completion tracking, and documentation.
Schedule
• Consistent 4x10 schedule on either the front half (Sunday to Wednesday) or back half (Wednesday to Saturday).


Basic qualifications

- Bachelor's degree
- 2+ years of professional or military experience
- Experience with Microsoft Office products and applications

Preferred qualifications

- Bachelor's degree in a business or analytical discipline, or equivalent experience
- Knowledge of SQL and data mining, including extracting and processing data from databases and dashboard development (e.g. QuickSight)
- Experience with data analysis tools such as SQL, Tableau, or QuickSight
- 2+ years of experience in data analysis and formula creation in Microsoft Excel at an advanced level (pivot tables, index/match, VLOOKUP, macros/VBA, data links, arrays)
- Experience in auditing, risk management, compliance, program management, or quality management systems
- Experience working in fast-paced environments and managing workload during times of stress or escalated activity
- Knowledge of Lean Six Sigma and process improvement methodologies
- Experience applying key performance indicators (KPIs) to analyses
- Knowledge of a modern programming language (Python, Java, Ruby, or C#) or statistical tools (R, SAS, SPSS)

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, TN, Nashville - 24.32 - 29.42 USD hourly

How we rate this

Compliance Analyst, Safety, NAST at Amazon rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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