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Business Intel Engineer, GRAM-T Tech

Amazon

Business Intel Engineer, GRAM-T Tech

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

Python

Java

R

Tableau

Quicksight

SQL

Statistical Analysis

Amazon strives to exceed the expectations of our customers by ensuring shipments are delivered quickly, safely, and as compliant as possible. Amazon’s Global Risk Audit and Monitoring – Transportation (GRAM-T) Tech builds end-to-end automated software solutions for data-driven risk controls and compliance management.

GRAM-T is looking for a Business Intel Engineer to partner with our customers to build and maintain tools, extract and consolidate data, conduct analysis, and provide insights. The successful candidate will be a customer-obsessed self-starter, comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced and evolving environment and work effectively with cross-functional and global teams.

  • Key job responsibilities
  • Analyze complex business problems and develop data-driven solutions
  • Document business requirements and translate them into functional specifications
  • Create and maintain dashboards and reporting systems to track key business metrics
  • Support the evaluation and implementation of new tools and processes
  • Partner with product, operations, and technical teams to identify process improvements and optimization opportunities

Basic Qualifications

  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, Quick Sight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

  • Master's degree, or Advanced technical degree
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis

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