BIE II, Amazon Now Quick Commerce

Are you ready to embark on a thrilling journey in the realm of grocery e-commerce? We're on the lookout for a team member to work on our latest initiative, operating at the forefront of innovation in a dynamic, fast-paced environment. This role demands the agility to navigate analytics landscape across multiple functions seamlessly, the resilience to thrive in a fast paced environment, excitement to handle challenges head-on and excellence in analytical abilities.

As a Business Intelligence Engineer, you'll be deciphering our customers' ever-evolving needs and shaping solutions that elevate their experience with Amazon.

We're seeking someone who thrives on ambiguity, harnessing their first-principle problem-solving skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, coupled with a penchant for out-of-the-box thinking, will be instrumental in navigating the complex landscape of our initiative.

• Key job responsibilities
• Deliver on all analytics requirements across business areas required for launch of the new initiative
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Ensure data accuracy by validating data for new and existing tools.
• Apply data mining and quantitative analysis to understand ways to improve our content selection for customers
• Perform both ad-hoc and strategic data analyses
• Build various data visualizations to tell the story and let the data speak for itself
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Build automation to reduce dependencies on manual data pulls etc.

Basic qualifications

• - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

Preferred qualifications

• - 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

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