AmazonPosted 1w ago

Business Intelligence Engineer, Search Capacity

Business Intelligence Engineer, Search Capacity at Amazon scores 20 out of 100 on AI centrality, which makes it a Level 1 role on this board.

JP, 13, Tokyomidfull-time

AI in this role

Scale Amazon Search capacity and efficiency through data analysis, forecasting, and resource planning.

redshiftoraclenosqltableauquicksightexcelmicrostrategypowerbipythonjavar

data-analysiscapacity-planningmetrics-trackinghardware-budgetingperformance-testing

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnalysisCapacity PlanningMetrics TrackingHardware BudgetingPerformance TestingRedshiftOracleNosql

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where capacity planning was part of your work. What did you do?
Tell me about a project where metrics tracking was part of your work. What did you do?
Tell me about a project where hardware budgeting was part of your work. What did you do?
Tell me about a project where performance testing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Analysis, Capacity Planning, Metrics Tracking, Hardware Budgeting, and Performance Testing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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