
Work hard. Have fun. Make history.
Business Intelligence Engineer, Strategic Account Services
What is the Amazon Marketplace?
Amazon is the largest marketplace on earth. Millions of customers shop in Amazon’s marketplaces globally. Every day, customers browse, purchase, and review products sold by third-party (3P) sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business.
What is Amazon Strategic Account Services (SAS)?
With increasing complexity of today’s e Commerce and rise of opportunities, the SAS Team aims to leverage the full potential of each Amazon selling partner. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and customer-focused approach to achieve commercial goals of our sellers.
What is the role of a BIE?
As a member of the central product team within SAS, you will assist the business teams in making data-driven decisions by transforming raw information into actionable intelligence through the creation of sophisticated data products.
- Key job responsibilities
- Gather and translate business requirements into scalable products that work well within the overall data architecture.
- Develop automated data products including dashboards, reports, self-service tools and data marts.
- Assist the team in supporting and maintaining the data environment.
- Assist the team in supporting the business regarding data management and ad-hoc analysis.
Basic Qualifications
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree in sciences, engineering, finance or equivalent
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in Statistical Analysis packages such as R, SAS and Matlab
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Total Views
0
Total Apply Clicks
0
Total Mock Apply
0
Total Bookmarks
0
Similar jobs

Liquidity Platform Business Analyst
BNY Mellon · London, United Kingdom

Business Analyst, Charles River Development, Officer
State Street · London, England

Legal, Content Protection & Analytics Analyst
Warner Bros. Discovery · London, 160 Old Street

Telecom Data Analyst- TMT- Deep Sector
FactSet · 3 Locations

Data Analyst - SQL/GDPR
Fanatics · London, United Kingdom, GB
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
10 reviews
3.4
10 reviews
Work-life balance
2.5
Compensation
4.2
Culture
3.0
Career
3.8
Management
2.7
65%
Recommend to a friend
Pros
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
Cons
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
Salary Ranges
4 data points
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
6 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 17%
Negative 83%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Latest updates
OpenAI’s subtle drift from Microsoft has become an aggressive move toward Amazon - CNBC
CNBC
News
·
1w ago
A blue-collar worker says he makes $10,000 per month from Amazon in just 20 hours of work — how you can do it, too - Yahoo Finance
Yahoo Finance
News
·
1w ago
Amazon Q1 earnings put the spotlight on AI spending and revenue - Yahoo Finance
Yahoo Finance
News
·
1w ago
Amazon Damage Claim NC | After delivery driver damages garage door, homeowner gets claims money: ABC11 Troubleshooter - ABC11 Raleigh-Durham
ABC11 Raleigh-Durham
News
·
1w ago