Senior Billing Analyst, AWS Monetization Billing Operations

AI in this role

Senior billing analyst leveraging SQL, Excel, and AI-enabled tools to manage complex pricing agreements and operations.

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billing-operationsfinancial-analysiscontract-interpretationdata-analysis

AWS Billing Operations – Senior Analyst

AWS Monetization Operations is a global team within AWS Billing responsible for operationalizing complex pricing agreements and ensuring customers are billed accurately and on time. We work at the intersection of customer contracts, billing systems, finance, accounting, and operations to translate complex commercial terms into scalable billing outcomes.

We are looking for a creative, analytical, and results-driven Senior Analyst who can independently manage complex billing processes, interpret contractual requirements, identify risks and gaps, and drive issues to resolution. The ideal candidate is a motivated self-starter who combines strong business judgment with analytical depth and is comfortable working across multiple teams to deliver accurate and timely customer billing.

Key Responsibilities:

Interpret complex pricing agreements and translate contractual terms into billing requirements and operational processes.
Own recurring billing activities and ensure accurate and timely execution of customer commitments and contractual terms.
Leverage SQL, Excel, BI, and AI-enabled tools to analyze billing and operational data, identify anomalies and root causes, and improve billing accuracy and operational efficiency.
Investigate billing issues, develop recommendations, and drive cross-functional resolution with Engineering, Finance, Accounting, Sales, and Customer Support.
Identify opportunities to simplify, standardize, and improve operational processes and controls.
Perform billing reconciliations and investigate material variances.
Develop reporting and mechanisms that improve visibility into billing accuracy, operational performance, and emerging risks.
Serve as a subject-matter expert on complex billing scenarios and provide guidance and mentoring to other analysts.
Support new pricing constructs, customer launches, and evolving billing requirements as the business grows.

Basic Qualifications

Bachelor’s degree in Business, Finance, Economics, Computer Science, Engineering, or a related field.
5+ years of experience in operations, finance, billing, business analysis, or a related field.
Experience interpreting and operationalizing complex contractual or business requirements.
Experience analyzing large datasets using SQL and Excel.
Demonstrated ability to independently solve ambiguous problems and drive cross-functional work to completion.

Preferred Qualifications

5+ years of experience in finance, business operations, billing, pricing, revenue operations, or related functions.
Experience working with complex customer agreements or non-standard pricing constructs.
Experience identifying root causes and designing scalable process improvements.
Experience using BI and AI-enabled tools to improve analysis, decision-making, or operational efficiency.
Strong written and verbal communication skills with the ability to influence across business and technical teams.
Experience working in a high-growth technology environment.

Key job responsibilities
Interpret complex pricing agreements and translate contractual terms into billing requirements and operational processes.
Own recurring billing activities and ensure accurate and timely execution of customer commitments and contractual terms.
Leverage SQL, Excel, BI, and AI-enabled tools to analyze billing and operational data, identify anomalies and root causes, and improve billing accuracy and operational efficiency.
Investigate billing issues, develop recommendations, and drive cross-functional resolution with Engineering, Finance, Accounting, Sales, and Customer Support.
Identify opportunities to simplify, standardize, and improve operational processes and controls.
Perform billing reconciliations and investigate material variances.
Develop reporting and mechanisms that improve visibility into billing accuracy, operational performance, and emerging risks.
Serve as a subject-matter expert on complex billing scenarios and provide guidance and mentoring to other analysts.
Support new pricing constructs, customer launches, and evolving billing requirements as the business grows.

Basic qualifications

- 5+ years of Microsoft Excel experience
- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field
- Experience with sales CRM tools such as Salesforce or similar software
- Experience defining, refining and implementing sales processes, procedures and policies or equivalent

Preferred qualifications

- 5+ years of finance, business management and sales operations experience
- Experience working within a high-growth, technology company

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, Seattle - 88,100.00 - 154,100.00 USD annually

How we rate this

Senior Billing Analyst, AWS Monetization Billing Operations 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.

Classification

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. Open the description and count.

Key facts

Senior Billing Analyst, AWS Monetization Billing Operations is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $88k-$154k a year.
The role is based in US, WA, Seattle.
The job was posted on October 1, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Billing OperationsFinancial AnalysisContract InterpretationData AnalysisSQLExcelBiAI Enabled Tools

Questions you could be asked

Tell me about a project where billing operations was part of your work. What did you do?
Tell me about a project where financial analysis was part of your work. What did you do?
Tell me about a project where contract interpretation was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Billing Operations, Financial Analysis, Contract Interpretation, Data Analysis, 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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