Data Analyst, RSX
Amazon is hiring a Data Analyst, RSX in Bellevue, United States. It pays $80k-$97k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include SQL, data analysis and logistics.
- Level classifies it as a mid-level role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Use data and analytics to drive decisions, improve the returns experience, and reduce defects in reverse logistics.
WWRR includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WWRR, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems.
Amazon is Earth’s most customer-centric company and in WWRR, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
As a Data Analyst, you will be responsible for leveraging data and analytics to identify gaps, measure effectiveness, and drive decisions to improve the returns experience. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will own end-to-end project execution for initiatives within your focus area, including influencing partner teams, driving prioritization on the roadmap, and working with tech to resolve issues you surface. You will leverage SQL and analytical tools to support the projects you own. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impact the bottom line of the business.
Key job responsibilities
* Use data and analytics to identify operational gaps, drive business decisions, and own resolution with partner teams.
* Employ the appropriate tools and methodologies to discover patterns of risks, abuse, and help reduce bad debt
* Analyze customer behavioral patterns and develop policy change recommendations based on findings and drive implementation with partner teams
* Leverage data to influence partner teams and drive prioritization to get issues resolved
* Write SQL queries and leverage data to surface gaps, track project health, and report on outcomes
* Work closely with business, engineering, and partner teams to align on priorities and deliver against your focus area
Basic qualifications
- 2+ years of program or project management experience
- 2+ years of advanced Microsoft Word and Excel experience
- Experience working in an analytical environment with cross-functional teams
- Experience writing SQL queries to extract and analyze data, track program health, and drive decisions
- Bachelor's degree in a relevant field, or 2+ years of Amazon experience in an analytical or program management capacity
Preferred qualifications
- Knowledge of Lean principles and DMAIC methodology
- Experience in requirement gathering and ability to write clear and detailed requirement document
- Experience managing stakeholder communications and driving alignment across multiple teams
- Experience building automated reporting or dashboards using BI tools (e.g., QuickSight, Tableau, or similar)
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, WA, Bellevue - 80,200.00 - 97,400.00 USD annually
How we rate this
Data Analyst, RSX 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
Pay
- This job starts at
- $80k
- Typical data analyst job
- $111k
This posting starts 28% below the typical data analyst job. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where logistics was part of your work. What did you do?
- Tell me about a project where process improvement was part of your work. What did you do?
- What's a project where you used SQL hands-on?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Logistics, Process Improvement, and SQL. 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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