AmazonRL Business Analyst, re:Cycle Reverse Logistics
Amazon is hiring an RL Business Analyst, re:Cycle Reverse Logistics in Nashville, United States. It pays $72k-$125k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this business analyst role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Quicksight, SQL and data modeling.
- Level classifies it as a mid-level role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past two weeks.
AI in this role
Build and maintain data pipelines, dashboards, and reporting models for reverse logistics operations.
re:Cycle Reverse Logistics is looking for a talented, driven, and analytically focused Business Analyst in support of our Reverse Logistics (RL) program. As a Reverse Logistics Business Analyst you will be responsible for developing metrics and dashboards to support multiple initiatives within our global network. Our mission is to manage and scale information technology asset disposition (ITAD) services for used electronics and electronic equipment (UEEE) through secure and environmentally sustainable practices supporting asset recovery, reuse, recycling, and other circular economy initiatives.
In this role, you will be responsible for designing and building the data pipelines, tables, and automated reporting systems that enable our Planning, Operations, and Finance teams to make faster, more accurate decisions. You will develop and maintain data sources that consolidate data from across the RRL network — spanning inbound receipts, facility processing, parts disposition, and outbound logistics — into reliable, queryable data models. You will create and maintain interactive dashboards and self-service analytics tools that track KPIs, support monthly S&OP processes, and provide real-time visibility into capacity, throughput, and operational performance across our global facilities. This role requires deep technical expertise in SQL, data modeling, and pipeline architecture, combined with the ability to understand business context and translate operational needs into scalable data solutions. You will work closely with the reporting and analytics team, planning analysts, operations leaders, and product management to ensure the right data is available at the right time to drive accountability, process improvements, and strategic decision-making.
Key job responsibilities
- Develop and maintain automated reporting solutions and interactive dashboards (QuickSight or similar) that support daily operations, monthly S&OP, capacity planning, and executive-level performance reviews
- Build and optimize data tables and warehouse structures that enable accurate volume projections across the full lifecycle — inbound receipts, facility processing throughput, parts testing and sparing, and outbound disposition
- Partner with planning analysts and product management to translate business requirements into technical data solutions, ensuring tooling and reporting meet evolving operational needs
- Create and maintain data pipelines that feed planning models, forecasting tools, and capacity planning systems used across global facilities
- Develop self-service analytics capabilities that empower operations, planning, and finance teams to independently access and analyze data without ad hoc engineering support
- Establish data quality frameworks, monitoring, and validation processes to ensure accuracy and reliability of reporting across all downstream consumers
- Support cross-functional collaboration by providing analytic roll-ups, data extracts, and custom reporting for Operations, Commercial, Program Management, and Finance leadership
- Document data architecture, pipeline logic, and reporting methodologies to ensure institutional knowledge and enable team scalability
- Identify opportunities to automate manual reporting processes and reduce time-to-insight for key business stakeholders
Basic qualifications
- Bachelor's degree in Supply Chain, Business, Engineering, Finance, or a related technical field
- 3+ years of business analyst, data analyst or similar role experience
- 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- 2+ years of SQL experience
Preferred qualifications
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience influencing internal and external stakeholders
- Experience using inventory management systems Warehousing, supply chain, inventory management, finance, vendor and/or project management experience
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 - 71,500.00 - 125,200.00 USD annually
How we rate this
RL Business Analyst, re:Cycle Reverse Logistics at Amazon rates 10 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in business analyst jobs at this level
Pay
- This job starts at
- $72k
- Typical business analyst job
- $105k
This posting starts 32% below the typical business analyst job. See business analyst jobs
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where pipeline architecture was part of your work. What did you do?
- Tell me about a project where dashboarding was part of your work. What did you do?
- Tell me about a project where supply chain analytics was part of your work. What did you do?
- Walk me through how you've used Quicksight in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Modeling, Pipeline Architecture, Dashboarding, Supply Chain Analytics, and Quicksight. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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