招聘
Are you passionate about transforming complex data into actionable insights? Do you thrive on creating visualization solutions that drive business decisions? Amazon's Corporate Infrastructure Services (CIS) is looking for a highly motivated Business Intelligence Engineer to design, develop, and maintain analytical dashboards and reporting solutions that support critical business operations.
In this role, you will drive data-driven transformation at Amazon by designing and implementing business intelligence solutions that directly impact our global infrastructure operations. You'll leverage analytics tools to turn complex data into actionable insights that optimize costs and enhance decision-making across Amazon's worldwide operations.
Come join our team and help shape how CIS leverages data to make strategic infrastructure decisions that support our growing global presence.
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Key job responsibilities
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Design and implement analytical dashboards for tracking critical metrics including vendor management, cost tracking, utilization patterns, and key performance indicators aligned with business objectives
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Build and maintain scalable dashboards, automated data pipelines, and reporting solutions that provide critical visibility into Amazon's global infrastructure spending, utilization patterns, and cost-saving opportunities
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Develop and automate reporting solutions for Monthly Business Reviews (MBRs), Weekly Business Reviews (WBRs), forecasting processes, cost savings trackers, and spend analysis tools
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Partner with business and technical stakeholders to understand data needs, translate them into technical requirements, and implement data-driven solutions that enhance operational efficiency
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Build RFP templates, reporting frameworks within enterprise systems, and automate circuit outage and utilization reporting to improve operational efficiency
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Drive continuous improvement in data architecture, analytics capabilities, data quality, and accessibility across the organization
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Communicate complex data insights effectively to stakeholders at all levels of the organization
About the team
Corporate Infrastructure Services (CIS) provides the foundational technology infrastructure that powers Amazon's global operations. We design, implement, and manage critical systems including network connectivity, telecommunications, and workplace technology that enable business continuity across all the regions. Our team delivers reliable, scalable, and secure infrastructure solutions while driving operational excellence through standardization and automation, ensuring Amazon employees worldwide have the tools and connectivity they need to serve customers effectively
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
- Bachelor's degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience understanding needs of business and end customers and translating them into right solutions
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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