Business Intelligence Engineer, WWGS Retail BI

Amazon • Seattle, WA

1d

About The Position

The Retail Business Intelligence team at Amazon is seeking an experienced Business Intelligence Engineer to lead Online Marketing and Customer Lifecycle analytics for Amazon's grocery business. This high-impact role involves transforming how the business uses data to drive customer-obsessed decisions, revolutionizing online grocery analytics, and pioneering AI-powered solutions to multiply stakeholder impact. The position is crucial for enabling data-driven decisions that optimize customer discovery, engagement, and retention for Amazon's online grocery offerings. The Worldwide Grocery Stores Retail BI team focuses on increasing the speed and quality of decision-making through advanced analytics, robust data infrastructure, and AI-powered automation, balancing tactical needs with strategic initiatives. This role offers the opportunity to learn and apply AI techniques to real business problems impacting millions of customers.

Requirements

• Bachelor's degree in sciences, engineering, finance or equivalent
• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Knowledge of SQL and data warehousing concepts
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Nice To Haves

• Master's degree in sciences, engineering, finance or equivalent
• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
• 5+ years of retail, grocery, or customer-facing, or 2+ years of retail or operations experience

Responsibilities

• Build scalable analytics infrastructure: Design and implement automated ETL pipelines, data models, and reporting solutions using AWS technologies (Redshift, Athena, QuickSight, S3) that transform raw data into actionable insights for marketing and customer lifecycle teams
• Drive marketing measurement excellence: Own end-to-end attribution analysis, customer funnel instrumentation, and lifecycle segmentation frameworks that enable data-driven investment decisions across multi-million dollar marketing budgets
• Develop AI-powered analytics solutions: Create conversational AI agents and automated insight generation tools that enable business stakeholders to self-serve complex analyses, reducing time-to-insight from days to minutes
• Partner cross-functionally: Collaborate with Marketing, Product, Tech, and Data teams to translate ambiguous business requirements into technical solutions, establish unified measurement standards, and drive alignment on strategic initiatives
• Deliver actionable insights: Conduct deep-dive analyses on customer behavior, campaign performance, and funnel optimization opportunities that directly inform business strategy and tactical execution
• Ensure data quality and reliability: Implement monitoring, validation, and documentation practices that maintain trust in analytics outputs and enable confident decision-making
• Mentor and influence: Share best practices, contribute to team technical standards, and elevate the analytical capabilities of both technical and non-technical stakeholders

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level