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Senior Business Analyst, FinOps PMO

Amazon

Senior Business Analyst, FinOps PMO

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Work Life balance

Health benefits

Flexible work

Stock options

CPA reimbursement

401(k) matching

Healthcare

Equity

Required Skills

NetSuite

SAP

Oracle

Job Title: Senior Business Analyst
Elevate Business Strategy Through Data Insights at Amazon
Transform complex data landscapes into strategic roadmaps that drive global operational excellence. We're searching for an analytical innovator who can translate intricate business challenges into clear, impactful solutions.

A Day in the Life:

Your workday will be a dynamic exploration of data-driven problem-solving. You'll collaborate with cross-functional teams, dive deep into sophisticated datasets, craft compelling visualizations, and develop analytical frameworks that shape critical business decisions.

About the Team:

We are a collaborative, forward-thinking analytics group dedicated to pushing the boundaries of data innovation. Our mission centers on enhancing operational efficiency, mitigating risks, and delivering transformative insights that elevate customer and partner experiences across Amazon.

Key Job Responsibilities:

Conduct comprehensive analytical investigations to uncover trends, diagnose complex challenges, and develop strategic solutions
Design scalable data architectures, advanced reporting tools, and interactive visualization platforms
Develop predictive analytical frameworks to support strategic decision-making processes
Collaborate with product, operations, finance, and technology teams to refine analytical requirements
Communicate complex insights through compelling presentations to senior leadership

Basic Qualifications

  • Experience making business recommendations and influencing stakeholders
  • Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
  • Experienced with ERP systems (preferably Oracle) and data visualization tools
  • Experience analyzing large datasets and translating them to actionable business insight
  • Experience in accounts receivable or account payable, or experience in tax, finance or a related analytical field

Preferred Qualifications

  • Master's degree in finance, accounting or related field
  • PMP/SCRUM/Agile certification or similar
  • Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight
  • Experience using Excel at an advanced level including practical knowledge of VBA/macros and advanced Excel functions
    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