The xACE team is seeking a highly technical and experienced Business Intelligence Engineer with strong SQL and Python skills to provide data insights and reporting to product, program and business leadership on vital cross-brand programs such as Grocery Subscriptions, online shopping and ordering, Whole Foods marketing and many more.
The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.
This role will have high level visibility due to the criticality and cross-functional nature of the products and programs that this analyst will support. This role has great exposure to a broad scope of work and tools that can really help shape the future and convergence of Amazon Grocery, while providing several paths for career growth.
Key job responsibilities
• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts.
• You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.
• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders
• Simplify and automate reporting, audits and other data-driven activities
• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights
• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Learn new technology and techniques to meaningfully support product and process innovation
BASIC QUALIFICATIONS
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 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
- Experience working with online product/e-commerce teams and a general understanding of clickstream data
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience working in the retail or e-commerce industries
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