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Amazon

Business Intelligence Engineer, Search Capacity

Amazon Tokyo, Tokyo, Japan

Software Development · 10,001+ employees

19 h ago
business-intelligence Mid (2-5 yrs) Full-time Japan
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About the role

You will scale the Amazon Search service by collaborating with engineering and operations to manage capacity planning and hardware budgeting. Additionally, you will analyze resource utilization and performance data to develop models that meet future service level agreements.

What they look for

Business Intelligence Capacity Planning Data Analysis Redshift Oracle NoSQL Tableau Quicksight Python Java R Data Visualization Statistical Methods Data Modeling Data Pipeline Design Performance Testing

Requirements

Candidates must have at least one year of experience in data analysis using tools like Redshift, Oracle, or NoSQL, along with proficiency in data visualization and scripting languages. A Master's or advanced technical degree is preferred, as is knowledge of data modeling and statistical analysis.

Benefits

Inclusive culture Continuous learning opportunities Workplace accommodations

Full description

The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work. We design, develop, and deploy high performance, fault-tolerant, distributed search systems used by millions of Amazon customers every day. As a Business Intelligence Engineer in the Search Capacity team, you will: - Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning. - Identify and track key performance metrics around efficiency and costs. - Manage planning, ordering, and budgeting for hardware and other computational resources. - Develop and improve tools for automating the foregoing responsibilities wherever possible. - Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.

At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.

Basic Qualifications: - 1+ 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, QuickSight, 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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