Sr. FinOps Analyst AR, AWS

Amazon

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profile Job Location:

Manila - Philippines

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

- Normal Office Environment
- Report daily to the Pasay office.
- This role will primarily be reporting on a APAC morning or mid shift but may also be requested to be on shifting schedule from time to time.
- Work during Holidays as may be required by the Company.
- May be asked to render overtime on critical and peak times as may be required by the Business.

As an AR Analyst you will support Amazons STANDARD customers to identify and resolve billing issues reconcile accounts and drive monthly collection targets. A successful individual will be self-motivatedsomeone who can recognize how processes can improve and effectively implement positive changes. The candidate must also be able to build strong cross-functional relationships and demonstrate exceptional organizational skills and attention to detail. You will earn trust with our customers to facilitate timely payment.

Key job responsibilities
- Manage a portfolio of customer receivables and work to maximize Amazons cash flow by solving customer payment issues.
- Full cycle of accounts receivable past due balances including: research analysis and account reconciliations.
- Calling customers and scheduling resolution sessions to understand the procure-to-pay cycles of our customers.
- Managing and resolving invoice discrepancies to ensure timely and accurate receivables.
- Managing internal and external Accounts Receivable inquiries.
- Maintain customer relationships by responding timely and accurately to both internal (company) and external (vendor directly) questions and requests for information.
- Understand the Amazon billing processes to provide guidance to customers identify defects and drive resolution upstream of AR.
- Understand the pain points of customers and solve our customers problems.
- Providing prompt efficient detailed customer-oriented service to customers.
- Escalating when appropriate to direct manager and/or senior leaders.
- Keeping detailed notes task creation and reminders in our collections tools.
- Acting as the Voice of the Customer for our top tier customers and Sales Teams reporting and acting on observed areas for improvement.
- Actively seeking solutions to customer and sales needs communicating trends to leadership and suggesting innovative solutions on behalf of the customer experience.
- Analyze trends and suggest process improvements.
- Perform other projects and duties as required.

- Bachelors degree in Finance Accounting Business Administration or related field OR equivalent work experience
- Fluent English communication skills (written and verbal)
- Ability to work flexible schedules including APAC morning/mid shifts holidays and overtime during peak periods as required

- 2 years of collections experience in a large customer-oriented corporate environment
- Experience managing accounts receivable including research analysis and account reconciliations
- Advanced proficiency in Microsoft Excel including pivot tables VLOOKUP/XLOOKUP data analysis and reporting functions
- Strong analytical skills with ability to identify trends and process improvements

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Senior IC

- Normal Office Environment - Report daily to the Pasay office. - This role will primarily be reporting on a APAC morning or mid shift but may also be requested to be on shifting schedule from time to time. - Work during Holidays as may be required by the Company. - May be asked to render overtime ...
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Key Skills

  • ArcGIS
  • Intelligence Community Experience
  • GIS
  • Python
  • Computer Networking
  • Data Collection
  • Intelligence Experience
  • R
  • Relational Databases
  • Analysis Skills
  • Data Management
  • Application Development

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