We are seeking a Business Intelligence Engineer II to join the Product & E-commerce Analytics team supporting Whole Foods Market's digital presence. This role will provide insights into our digital products (Whole Foods Market on Amazon, Whole Foods Market web, and the Whole Foods Market app), the in-store and online checkout experience, foundational data quality, and new technical product initiatives. You'll deliver data-driven insights and analytics solutions across the product development lifecycle, partnering with Product and E-commerce teams to drive decision-making through data analysis, reporting, and insights generation.
Key job responsibilities
Analytics Development & Insights
• 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
Technical Execution & Automation
• 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
Product Development Support
• 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
Collaboration & Communication
• 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- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
