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Business Analyst, External Fulfillment Ops

Amazon

Business Analyst, External Fulfillment Ops

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

Required Skills

SQL

Excel

Data analysis

Communication

A Business Analyst facilitates the flow of information between various stakeholders (external and internal) and analyzes data to provide insights that enhance customer experience and business continuity. The BA is responsible for researching and querying internal tools, analyzing data, and making data-driven decisions in real-time. The ideal candidate should be able to understand requirements, identify root causes through data analysis, and drive stakeholder satisfaction without compromising on time. A basic understanding of logistics and clear communication skills, both written and oral, are essential

  • Key job responsibilities
  • Communicate with external stakeholders (carriers, vendors/suppliers) and internal stakeholders (operations, finance).
  • Pull data from multiple databases (using Excel, SQL, and other data management systems) to perform ad hoc reporting and analysis as needed.
  • Develop and understand performance metrics to drive business results.
  • Quickly analyze available data to make informed decisions and follow through on resolutions to ensure timely delivery.
  • Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
  • Demonstrate excellent communication skills, both verbal and written, to create narratives outlining weekly findings, variances to goals, and present these findings in review forums.
  • Provide real-time stakeholder experience by working in a fast-paced operating environment.
    Internal job description
  • Basic qualifications
  • • Bachelor’s degree.
  • • 36 months+ of work experience.
  • • Strong data analysis and interpretation skills.
  • • Excellent communication skills to facilitate information flow between internal and external parties.
  • • Proficiency in advanced Excel (pivot tables, VLOOKUPs).
  • • Basic knowledge of SQL (joins, nested queries).
  • • Ability to work effectively in a dynamic team environment.
  • • Fluency in English.
  • Preferred qualifications
  • Background in logistics is a plus.
  • Proficiency in SQL.

Basic Qualifications

  • 1+ years of data analytics or automation experience
  • 1+ years of capacity planning, operations planning, business analysis or similar experience
  • Bachelor's degree
  • Knowledge of data pipelining and extraction using SQL
  • Knowledge of SQL and Excel at a moderate or advanced level
  • Experience with data mining tools like SQL, SAS, SPSS, or similar

Preferred Qualifications

  • Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical 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 · 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