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Sr. Business Analyst, Account Integrity

Amazon

Sr. Business Analyst, Account Integrity

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1w ago

Have you ever thought about what it takes to detect and prevent unauthorized activity among hundreds of millions of e Commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers create and sign in to shop at Amazon? How would you build systems that evolve over time to proactively identify and neutralize new and emerging MO?
Amazon’s Buyer Risk Prevention (BRP) team is looking for a passionate, results-oriented Business Analyst to support Account Integrity’s mission is to prevent bad actors from taking over existing good Customer accounts (events referred to as ATOs), and from creating new Amazon accounts (bad actor accounts, or BAAs).

Key job responsibilities
As a Business Analyst in BRP, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.

Responsibilities:

  • Understand the various operations across BRP
  • Understand the requirements of stakeholders and map them with the data sources/data warehouse
  • Design and develop highly available dashboards and metrics using Tableau, Excel and SQL.
  • Provide wing-to-wing project lifecycle execution (project planning, execution, risk assessment and system availability)
  • Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers
  • Perform business analysis and data queries using scripting languages like R, Python etc.
  • Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)
  • Identify new pattern of abuse and make recommendations for new controls and improved monitoring
  • Develop and oversee the initiation of strategy recommendations

Basic Qualifications

  • 5+ years of tax, finance or a related analytical field experience
  • 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
  • Experience defining requirements and using data and metrics to draw business insights
  • Experience making business recommendations and influencing stakeholders
  • Experience with Excel

Preferred Qualifications

  • MBA

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