Jobs
As a Business Analyst in Amazon Ads, you will be working in one of the most most complex data ecosystem.
An ideal candidate should have deep expertise in design, creation, management, and business use of extremely large datasets.
Strong fundamentals in SQL , python and optimization techniques.
You should have excellent communication skills to be able to work independently with our Tech, BI and Business partners to develop and answer the key business questions.
You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing data as a service solutions.
You should be able to think beyond the current environment and automate the workflows wherever needed.
Preferred:
Knows and keen to implement AI solutions.
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Key job responsibilities
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Understand Business Requirements (Internal and Business Stake Holders)
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Churn out design and implementation steps from
the business requirements. -
Design Data models for Facts & Dimensions
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Implementation of ETL
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Ownership of datamarts / Enhancements
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A day in the life
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Work in a highly dynamic environment
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Monitor existing ETLs
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Work on multiple new requirements in parallel
About the team
The Amazon India Advertising business is a strategic start-up with support and interest from business units across the company as well as Amazon’s top management. We are a motivated, collaborative and fun-loving team building a high growth business. We are entrepreneurial and have a bias for action and a broad mandate to experiment and innovate. This role offers an opportunity to make a significant impact on the future vision for Amazon.
Basic qualifications
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3+ years of data analytics or automation experience
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3+ years of business analysis (dealing with large complex data) experience
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Bachelor's degree
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Experience with data mining tools like SQL, SAS, SPSS, or similar
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Knowledge of data pipelining and extraction using SQL
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Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions
Preferred qualifications -
Speak, write, and read fluently in English
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.
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
- Speak, write, and read fluently in English
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
PublicAmazon.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
$1.5T
Valuation
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
4 data points
Junior/L3
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L5
0 reports
$187,921
total per year
Base
-
Stock
-
Bonus
-
$159,732
$216,110
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
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