채용
Benefits & Perks
•Healthcare
•401(k)
•Parental Leave
•Healthcare
•401k
•Parental Leave
Required Skills
SQL
Python
Java
R
Tableau
Quicksight
Data Analysis
Statistical Methods
The EU International Technology (EU INTech) charter for Partner Growth and Experiences (PGX) is established to deliver coherent and personalized experiences for Selling Partners (SP) and Amazon teams, enabling them to manage their business growth across Amazon WW stores as a single-store experience, benefiting Amazon customers by accelerating Amazon flywheel. Our mission is to delight Customers and enable long-term success of Selling Partners by building the most trusted shopping experiences and a suite of services, tools and experiences that drive efficiency, growth and transparency for both, our Selling Partners and internal Retail teams, throughout their selling journey and across regions.
Key job responsibilities
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep experience in the design, creation, management, and business use of large datasets. You should have 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. You should be good 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 reporting solutions.
The person will need to effectively communicate across all levels and be self-motivated to raise the bar on deriving insights from analytics and identify opportunities to delight the customers. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.
A day in the life
This person will own the production and delivery of suite of analytics reports and dashboards used by the organization to make key business decisions. This will involve:
- Delivery of standardized performance metrics for global customers and stakeholders.
- Partner with existing Product Managers, Business Leaders in executing defined roadmap of projects.
- Provide ad-hoc support to EU INTech finance and business services for SQL report creation, modification and optimization.
- Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates.
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
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%
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
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