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Amazon

Senior Business Analyst, Revenue Cycle Analytics, Finance Operations

Amazon is hiring a Senior Business Analyst, Revenue Cycle Analytics, Finance Operations in Arlington, United States. It pays $118k-$160k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this business analyst role: the daily work is on AI products, without building the model.
  • Pay on this posting starts 18% higher than the typical business analyst posting on Level.
  • The posting mentions SQL, Excel and Tableau among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Develop GenAI-powered analytics and automation solutions for healthcare finance operations and revenue cycle management.

SQLExcelTableauQuicksight
business-intelligencefinancial-analyticsprocess-optimizationgenaidata-analysis
The Senior Business Analyst will join the highly visible, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. This role will enable data-driven decision-making across our Healthcare Finance Operations (‘HFO') organization, focusing on process optimization, financial analytics, and business intelligence solutions in the Healthcare Revenue Cycle analytics area. The role will develop analytical solutions that empower our global HFOs team to operate at scale and resolve process defects by identifying and measuring them through advanced data analytics, as well as building and optimizing GenAI-powered analytics and automation. The role will be a trusted analytics partner for our business partners across Finance Operations Headquarters and Service Centers and will be leading the data analytics product solutions across in revenue analytics, receivables and payables.

Key job responsibilities
- Lead complex data analysis projects to identify operational efficiency opportunities and drive process improvements across global finance operations
- Be a thought leader in applying Artificial Intelligence tools and methods to data and analytics
- Develop and maintain advanced financial models, dashboards, and reporting solutions to support strategic decision-making
- Increase efficiency and productivity in the analytics function and the customer teams by a productive and reliable use of GenAI
- Partner with cross-functional teams to gather requirements, analyze business processes, and implement data-driven solutions
- Conduct thorough analysis of financial and operational metrics to identify trends, anomalies, and areas for optimization
- Design and implement KPIs and metrics to measure operational performance and financial health
- Create and maintain documentation for processes, methodologies, and analytical frameworks
- Partner with senior business leaders across Service Centers and Headquarters locations to identify, plan and execute on analytical opportunities to reduce defects and work drivers, improve goal performance, support new business expansion and operational analysis

A day in the life
The Senior Business Analyst will be in charge of conceptualizing and building high-performing analytics products relying on SQL, Excel and Tableau / QuickSight and strong business process understanding. The role will business partner across global Finance Operations to become an expert in core business processes, and will work backwards to enhance metric governance, identify and action analytical opportunities, and leverage data to build compelling business cases that influence our operations. SQL skills (Intermediate / Expert level) is a must to deliver on Job 1 in this role.

About the team
Global Data Analytics (GDA) is in charge of all the Finance Operations reporting across Amazon's businesses and geographies. GDA's mission is to be trusted and business-focused analytics partners, providing timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes. Our vision is to empower the world’s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time, actionable insights.

Basic qualifications

- 5+ years of tax, finance or a related analytical field experience
- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
- Bachelor's degree
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience making business recommendations and influencing stakeholders
- 5+ years of business intelligence and analytics experience

Preferred qualifications

- MBA
- 8+ years of tax, finance or a related analytical field experience
- 7+ years of business intelligence and analytics 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, VA, Arlington - 118,200.00 - 160,000.00 USD annually

How we rate this

Senior Business Analyst, Revenue Cycle Analytics, Finance Operations at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Business IntelligenceFinancial AnalyticsProcess OptimizationGenAIData AnalysisSQLExcelTableau

Also common in business analyst jobs at this level

Pay

This job starts at
$118k
Typical business analyst job
$100k

This posting starts 18% above the typical business analyst job. See business analyst jobs

Questions you could be asked

  1. Tell me about a project where business intelligence was part of your work. What did you do?
  2. Tell me about a project where financial analytics was part of your work. What did you do?
  3. Tell me about a project where process optimization was part of your work. What did you do?
  4. Tell me about a project where genai was part of your work. What did you do?
  5. Tell me about a project where data analysis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Business Intelligence, Financial Analytics, Process Optimization, GenAI, and Data Analysis. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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