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Catalog Analyst, IN Luggage

Amazon

Catalog Analyst, IN Luggage

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

Required Skills

Data modeling

ETL design

Business intelligence

Data analysis

In our effort to support this aggressive growth around the world, we are looking for a passionate business analyst to turn data into actionable insights, and support answer strategic business questions.
In this role, you will be responsible for data mining and data reporting activities pertaining to ops processes. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights.
With customer obsession and a high sense of ownership, you will utilize your skills to identify patterns and any disruptions in it. You should be able to dive deep, scrutinize details and foresee data implications. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. He/she passionately partners with the customers to identify strategic opportunities in the field of data engineering. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that continuously learns and evolves on a day to day basis.

Key job responsibilities
Key job responsibilities

  1. Daily, weekly and monthly research activities: Data mining and understand the reason for defects
  2. Prepare and publish daily, weekly and monthly report on operations
  3. Set performance evaluation metrics
  4. Standardize operations, processes and reporting

Basic Qualifications

  • Bachelor's degree

Preferred Qualifications

  • Experience with SQL databases (querying and analyzing)

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