[Remote] Business Intelligence Engineer II, Product & E-commerce Analytics

Note: The job is a remote job and is open to candidates in USA. Amazon is seeking a Business Intelligence Engineer II to join the Product & E-commerce Analytics team supporting Whole Foods Market's digital presence. This role focuses on delivering data-driven insights and analytics solutions across the product development lifecycle to drive decision-making through data analysis and reporting.

Responsibilities

• Establish and track engagement metrics for digital products and e-commerce platforms
• Analyze and extract relevant information from large and complicated data sets of structured and unstructured data to identify insights that influence business decisions and product roadmaps
• Develop deep knowledge of a variety of data sources, including customer, transaction, marketing, inventory, and digital data
• Design, develop, and maintain scaled, automated, and user-friendly systems, reports, and dashboards using QuickSight or similar tools
• Collaborate with product and technical teams to consult, develop, and track KPIs and automate reporting/process solutions
• Perform data infrastructure improvements to meet team needs
• Design and implement data models and ETL/ELT processes using AWS services including S3 and Redshift
• Optimize performance and usability of analytics products with expert-level SQL skills
• Ensure data quality, integrity, and consistency across analytical outputs
• Support product teams throughout the development lifecycle to define success metrics and measurement approaches
• Implement measurement frameworks for new products and features
• Lead requirements gathering sessions with product teams and business stakeholders
• Maintain analytics documentation and knowledge base for product initiatives
• Translate complex analytical findings into actionable business recommendations for stakeholders and senior management
• Partner with cross-functional teams including Product Management, E-commerce, Operations, Marketing Analytics, and Technology
• Lead projects independently with minimal supervision

Skills

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• 3+ years of developing automated reporting experience
• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor'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 in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience working as a BIE in a technology company
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Benefits

• Equity
• Sign-on payments
• Medical
• Financial
• Other benefits

Company Overview

• Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. It was founded in 1994, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is https://amazon.com.

Company H1B Sponsorship

• Amazon has a track record of offering H1B sponsorships, with 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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