Sr. FinOps Analyst Italian Speaker, Global Accounts Receivable

Working Conditions:
- Normal Office Environment.
- Report onsite daily to the Pasay office (Weekdays)
- Will follow EMEA time shift(Mid-shift) but may also be re-assigned to other shifting schedule from time to time
- Work during PH Holidays as may be required by the management/company
- May be asked to render overtime on critical and peak times as may be required by the Business.

As an AR Collections Analyst you will support Amazons strategic 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
This role will require for the successful candidate to:
- 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 or equivalent experience
- Native or fluent proficiency in French (written and verbal)
- Minimum 6 months of experience in customer service or customer-facing roles
- Proficiency in Microsoft Office Suite (Outlook Word Excel)
- Excellent written and verbal communication skills in French and English
- Demonstrated ability to work flexible schedules including shifts
- Ability to prioritize tasks and manage multiple responsibilities with minimal supervision
- Experience working in fast-paced environments and meeting deadlines

- 5 years of experience in Accounts Receivable (AR) Collections or credit management
- Proven AR Collections negotiation skills with demonstrated success in reducing past due balances
- Experience working with enterprise financial systems (SAP Oracle Financials GetPaid or similar AR Collections tools)
- Track record of managing and owning an AR Collections portfolio with measurable results
- Advanced Excel skills including macros/VBA MS Access or experience with AI-powered analytics tools
- Experience leading or participating in process improvement initiatives (Six Sigma Lean Kaizen)
- Ability to manage multiple priorities and deliver results under tight deadlines
- Knowledge of Amazon business operations e-commerce industry or technology sector
- Experience working in a global multicultural team environment
- Demonstrated ability to build positive relationships with internal and external stakeholders
- Strong attention to detail with ability to maintain accuracy in high-volume environments

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