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Stores Worldwide Intelligence & Finance Technology (SWIFT) team is responsible for providing reporting, analytics and automation support to multiple teams across Amazon.
At SWIFT, we are looking for high caliber and tested Business Intelligence Engineer (BIE) to contribute to projects with high exposure to Director and VP level business decision making . In this role you will query large databases, build dashboards, automate manual processes, apply latest statistical/science algorithms to provide decision making support. The solutions built by SWIFT team are leveraged by multiple cross-functional teams to deep dive into their respective businesses. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment. Our ideal teammate possesses a natural curiosity, sharp analytical skills and is excited to pioneer on behalf of customers.
If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us!
Key job responsibilities
- Key job responsibilities
- Understanding of Amazon’s data resources, which to use, how, and when
- Query large datasets across multiple platforms
- Design, develop and maintain scaled, automated, user-friendly reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
- Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.
- Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
- Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations
- Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.
- Work with PM/BIE/DE/Finance managers in understanding the business requirements and implementing solutions to support analytics and reports.
About the team
Stores Worldwide Intelligence & Finance Technology (SWIFT) team is responsible for providing reporting, analytics and automation support to multiple teams across Amazon.
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
Preferred Qualifications
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 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%
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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