채용
Benefits & Perks
•401(k) matching
•Generous paid time off and holidays
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Parental leave
•Competitive salary and equity package
•Learning
•Healthcare
•Parental Leave
•Equity
Required Skills
PostgreSQL
Python
JavaScript
Amazon.in's Fulfilment by Amazon (FBA) team is seeking for a talented, self-driven and experienced Senior Business Intelligence Engineer to lead its advanced analytics wing for FBA Product and Business team. This pivotal role provides you opportunity to work with an exceptionally innovative team, slice and dice multi-dimensional high depth data mines, build complex data models to provide data driven insights for high impact decisions spanning across Merchant and Customer experience improvement Product/Program initiatives.
Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.
To be successful in this role, you will have the ability to roll up your sleeves, innovate, and quickly become a subject matter expert to assess business performance across sellers and market segments.
You will be a self-starter who is willing to work hands-on, is comfortable with ambiguity and large data sets. You will be part of the Central Analytics team working with Stakeholders, Data Engineers, Business Intelligence Engineers and Business Analysts to achieve our goals. You will also have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights.
You will have demonstrated proficiency in SQL across variety of databases, BI tools, R or Python to analyze large data sets.
Key job responsibilities
Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions
Basic Qualifications
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
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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
M3
M4
M5
M6
L2 · Product Designer L2
0 reports
$163,720
total / year
Base
$65,488
Stock
$81,860
Bonus
$16,372
$114,604
$212,836
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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