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GAR SME, Global AR Finance Operations

Amazon

GAR SME, Global AR Finance Operations

Amazon

Pune, MH, IND

·

On-site

·

Full-time

·

1mo ago

Required Skills

Accounts Receivable

Finance

Process improvement

Automation

Financial analysis

KPI analysis

This role is a combination of 2 specific elements - 1) Billing Operations Management (BOM) automation projects critical for Ads, Devices and Emerging and Digital channels. The analyst would also manage Amazon connect program expansion with GAR training, CX and Ops and working with tech teams on enhancements.

  1. This resource would be working closely with partner teams in SC's including Billing, ORT and other relevant teams to simplify the onboarding of any new sub-optimal launch. The resource will be expected to run 2-3 projects per quarter.

Connect and CX Scope -:

  1. Collaborating with AR Ops teams across multiple time-zones to collect feedback on CX related issues/ tech projects/ enhancements.
  2. Working closely with Product & Tech POCs to drive related Tech projects.
  3. Ongoing Audit of Connect metrics and across channels
  4. Work closely with the SC teams to collate and review the SLAs for different processes and work backwards from a customer expectation on best-in-class service. This will include identifying tasks/ activities/ process steps that contribute to a longer SLA and eliminating/ combining/ automating these.

Basic Qualifications

  • 6+ years of tax, finance or a related analytical field experience
  • 4+ years of Accounts Receivable or Account Payable experience
  • 4+ years of applying key financial performance indicators (KPIs) to analyses experience
  • 4+ years of creating process improvements with automation and analysis experience
  • 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience
  • Bachelor's degree in accounting, information systems, finance, or equivalent, or Bachelor's degree and 5+ years of Accounts Receivable (AR) experience

Preferred Qualifications

  • 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
  • MBA, or CPA
  • Knowledge of Tableau
  • Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

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 · Venture Capitalist L2

0 reports

$154,235

total / year

Base

$61,694

Stock

$77,118

Bonus

$15,424

$107,965

$200,506

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