Business Intelligence Engineer II, World Wide Grocery Innovations

Amazon•Austin, TX

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. A day in the life Daily activities for this role will include meeting with business partners to clearly define objectives and requirements and then translating that into actionable technical solutions. It will also include the design, development, and deployment of those solutions. About the team The Innovations Team provides analytics and data architecture support to the Finance and Accounting organization within the World Wide Grocery Stores (WWGS) organization at Amazon. The organizational and technical landscape within WWGS is changing rapidly and this team plays an integral part in helping facilitate change.

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
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

Nice To Haves

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

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 .

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume