AmazonBusiness Intelligence Engineer, Search Capacity
Amazon is hiring a Business Intelligence Engineer, Search Capacity in Tokyo, Japan. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with forecasting and statistical analysis
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
Preferred qualifications
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience using Python scripting to process data for modeling
- Experience with data modeling, warehousing and building ETL pipelines
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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.
How we rate this
Business Intelligence Engineer, Search Capacity at Amazon rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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