Business Analyst, Customer Experience, Amazon Air
Amazon is hiring a Business Analyst, Customer Experience, Amazon Air in Bellevue, United States. It pays $83k-$130k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this business analyst role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Redshift, Generative AI and business analysis.
- Level classifies it as a mid-level role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Build dashboards, analyze delivery performance, and leverage generative AI tools to accelerate operational insights for Amazon Air.
We are looking for a Business Analyst who can work on complex, ambiguous problems and turn operational data into clear, actionable insights. You will build and maintain the metrics, dashboards, and data pipelines that drive daily and weekly decision-making across the Amazon Air network. Your work will directly shape how the team understands and improves delivery performance for customers.
Key job responsibilities
• Own the design, development, and maintenance of operational dashboards and performance metrics that track delivery quality across the Amazon Air network, including DEA (Delivery Experience Attainment) and related indicators.
• Identify and investigate delivery performance gaps by diving deep into large, complex datasets across multiple data sources including Redshift, Andes, PerfectMile, and DataCentral.
• Build and maintain ETL pipelines and automated reporting solutions that reduce manual effort and improve the speed and accuracy of operational insights.
• Own the Misbucketing AIR process — identifying packages incorrectly attributed to Air operations and driving corrections through data — and continuously improve the intake and classification workflow.
• Support the AirWatch program by maintaining and improving dashboards that provide visibility into aircraft out-of-service events and their downstream impact on delivery performance.
• Partner with supply chain managers and operations leaders to translate business questions into analysis requirements, and present findings to senior stakeholders.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis validation, and documentation — ensuring pipelines and dashboards can be independently maintained by others.
• Apply generative AI tools to accelerate insight generation and automate routine monitoring and reporting workflows.
A day in the life
On Monday, a delivery performance gap surfaces overnight. You pull the data, trace it to a root cause in the misbucketing pipeline, and have a draft fix to the data engineering team before the morning stand-up.
On Wednesday, an ops leader needs to understand why one gateway is running 15% above its defect target. You build the breakdown, identify the two drivers, and present a one-page summary that gets acted on the same day.
By Friday, you have pushed an updated dashboard to production, cutting a three-hour manual reporting process to fifteen minutes. The team uses it in Monday's business review.
No two weeks look the same.
About the team
Amazon Air's Customer Experience team sets the course for delivering more promises on time across a fast-growing network. We spot risks before they hit customers, and we build the mechanisms that turn a single root cause fix into a lasting improvement across the network.
We work directly with flight planning, linehaul, and data science teams to turn operational insight into action. We use GenAI to automate manual work so we can spend more time solving the next problem instead of reporting on the last one.
We are a small, hands-on team. Every person owns real outcomes, not just analysis.
Basic qualifications
- Bachelor's degree or equivalent
- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience with SQL
- Experience making business recommendations and influencing stakeholders
Preferred qualifications
- Experience partnering with executive-level leaders to identifying and solving business issues
- Experience with SQL and database technologies such as AWS Redshift and expertise in performance tuning and scaling in a DWH environment
- Experience in ETL management/data pipeline
- Experience utilizing R or Python
- Experience in program management, logistics, operations, supply chain, transportation, or a related field
- Experience applying generative AI tools to automate analytical or reporting workflows
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 - 82,700.00 - 130,100.00 USD annually
How we rate this
Business Analyst, Customer Experience, Amazon Air at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
- $83k
- Typical business analyst job
- $105k
This posting starts 21% below the typical business analyst job. See business analyst jobs
Questions you could be asked
- Tell me about a project where business analysis was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where dashboards was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Business Analysis, Data Pipelines, Dashboards, ETL, 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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