Business Intelligence Engineer II, World Wide Grocery Innovations

Amazon • Austin, TX

1d

About The Position

The ideal candidate will be responsible for spearheading complex analytical initiatives that drive enterprise-wide transformation and strategic decision-making. This role partners directly with senior leadership to identify, develop, and implement critical business solutions while fostering innovation in data management and financial practices, with a strong focus on data architecture and data engineering solutions. This role requires a proven track record of translating complex business challenges into actionable insights, leading transformational initiatives at an enterprise level, and deep expertise in data engineering and AWS technologies.

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Nice To Haves

• 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 with complex Alteryx environments and use cases
• Retail and/or grocery industry experience.

Responsibilities

• Lead high-impact analytical projects and deliver data-driven insights that shape organizational strategy and business outcomes
• Deliver comprehensive and proactive support across Finance Operations, Accounting, Tax and Indirect Procurement teams
• Develop comprehensive project plans, including resource allocation, milestone tracking, and performance metrics
• Design innovative business analysis frameworks to uncover market trends and drive process optimization
• Build and maintain data lakes and warehouses using AWS technologies while establishing governance frameworks, particularly QuickSight, Andes and Redshift
• Develop and maintain ETL pipelines to integrate multiple data source systems while ensuring data quality
• Create and optimize complex Alteryx and SQL queries, stored procedures, and data models for efficient transformation
• Lead the implementation of QuickSight dashboards and end-to-end analytics solutions
• Architect and optimize database performance and query efficiency across enterprise systems
• Develop comprehensive data validation, testing frameworks, and security measures
• Create technical documentation and mentor team members on data engineering best practices
• Evaluate and implement new data technologies while driving adoption of modern engineering practices
• Identify and execute opportunities for process automation and optimization
• Contribute to data strategy development and maintain alignment with industry best practices

Benefits

• equity
• sign-on payments
• medical
• financial
• other benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed