Business Intelligence Engineer, Amazon

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. Responsibilities

• 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.

• Bachelor's degree or above in statistics, business analytics, data analytics, data science, computer science or related field
• Experience with data querying or modeling with SQL
• Experience with scripting language (e.g., Python, Java, or R)
• Experience applying basic statistical methods (e.g., regression) to difficult business problems
• 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)

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis