Business Intelligence Engineer

Responsibilities

• Design and implement automated ETL pipelines, data models, and reporting solutions to transform raw data into actionable insights.
• Build self-service dashboards and analytics tools that enable business teams to monitor performance independently.
• Develop AI-powered solutions to improve stakeholder access to data and accelerate time-to-insight.
• Write high-quality SQL to retrieve and analyze complex datasets from multiple sources.
• Partner cross-functionally with Finance, Tech, and Retail teams to translate ambiguous business requirements into technical solutions.
• Implement data quality monitoring and documentation practices to maintain trust in analytics outputs.

Requirements

• 3+ years of experience analyzing and interpreting data with Redshift, Oracle, or NoSQL.
• 1+ years of experience with SQL, ETL, or Oracle.
• 1+ years of experience processing large, multi-dimensional datasets from multiple sources.
• 1+ years of experience performing statistical analysis.
• 1+ years of experience developing automated reporting.
• Experience with data visualization using Tableau, QuickSight, or similar tools.
• Experience with data modeling, warehousing, and building ETL pipelines.

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining and using databases in a business environment with large-scale, complex datasets.

Benefits

• Comprehensive health insurance including medical, dental, and vision.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

About the Company

Amazon is a global leader in e-commerce and technology. The Grocery Retail Business Intelligence team provides data engineering and analytics support across Category Management and Merchandising Operations to increase the speed and quality of decision-making for Amazon's grocery banners.