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Cash Application Analyst - AR

Amazon

Cash Application Analyst - AR

Amazon

Pasay City, PHL

·

On-site

·

Full-time

·

1w ago

GAR (Global Accounts Receivable) is looking for a proactive and detail-oriented Cash Application Analyst to support and lead our efforts in managing daily cash application hence you need to have extensive knowledge and ability to perform day-to-day operations while maintaining SLA’s. The right candidate will be responsible for maintaining stringent SLAs on productivity, turnaround time and accuracy of posted cash. Candidate would be responsible for creating multiple reports using excel and system data extraction from Amazon tools. Excel proficiency is a must for this role.

Key job responsibilities
Responsibilities will include but not limited to: prioritizing workload and achieving results in a fast-paced, growing environment. They will also be tasked with monitoring and delivering on key performance metrics (cash application rates, customer experience scores, etc.), process improvements, technology adoption and ensuring compliance & control policies are followed. Solving queries related to cash applications, reconciliation of account and processing emails related to remittance advice from customers, etc. As part of our commitment to your development, you will also gain exposure in cross-functional and process improvement projects, and your core responsibilities will include following: Ensure timely closure of payments with high degree of accuracy Work with internal teams to drive process improvements and resolve escalations and discrepancies on customer account Provide growth ideas for process standardization and automation through JDI/Kaizen projects Perform simple/complex reconciliations on customer payments Highlight and address issues with the technical teams related to the discrepancies with the system.

Basic Qualifications

  • Prior experience of at least 2 years in similar BPO outfit or in Finance & Accounting role as an Analyst.
  • Knowledge in Outlook, Word and Excel or similar desktop applications.
  • Good Communications skills – Written & Verbal (English)
  • Contact Management Experience
  • Emails and Outbound Calling

Preferred Qualifications

  • Preferred qualifications
  • Preferably with a Bachelor Degree in Finance/Accounting as Major Subject.
  • Preferably has working knowledge on Oracle Financials or other Finance ERP tools.
  • Flexible to work in shifts .
  • Has good interpersonal skills, hardworking, flexible, responsive and detail oriented.
  • Can work under pressure/ with deadlines.
  • With continuous improvement mindset
  • Advanced knowledge of Excel – including working with pivot & formulas
  • Strong reconciliation skills.

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.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge