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Senior Financial Analyst, WW Ops Finance

Amazon

Senior Financial Analyst, WW Ops Finance

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Equity

Paid Time Off

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Financial analysis

Forecasting

Process improvement

Data analysis

Accounts Receivable

Accounts Payable

Amazon seeks a Senior Financial Analyst for Operations Finance team. The person would play a key role in
driving the business agenda. This includes, among other things, responsibility for financial metrics,
reporting, forecasting & planning and to help business in decision support through data analysis &
business insight.

  • Key job responsibilities
  • Build financial analysis models driving operational decisions across the Amazon network
  • Closely Working with stakeholders on cost out initiatives
  • Working on annual budgeting and revisions thereof
  • Automate existing models and tools to contribute in scale-up of the Fulfillment Center Network
  • Operations planning and cost planning for the Network
  • Evaluate and improve methodologies that are the core of our business models and tools
  • Collaborate with operations personnel to drive process, productivity improvements and cost
    savings initiatives
  • Manage the Weekly, Monthly and Quarterly results reporting
  • Facilitate financial review meetings with key partner business groups

Basic Qualifications

  • 3+ 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 engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) 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