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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.
- 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
- 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 148857029
Skills:
SAS, Data Modeling, Redshift, Sql, Nosql, Quicksight, Tableau Desktop, Data Visualization, Matlab, Oracle, Python, Warehousing, R, ETL pipelines
Skills:
S3, SAS, Dynamodb, Tableau, Data Modeling, Redshift, Sql, Nosql, Ec2, Quicksight, Matlab, Oracle, Python, AWS, Warehousing, R, ETL pipelines
Skills:
Sql, Data Modeling, Python, Data mining, AWS technologies, ETL pipelines
Skills:
SAS, Tableau, Data Modeling, Redshift, Sql, Nosql, Quicksight, Matlab, Oracle, Python, Warehousing, R, ETL pipelines
Skills:
S3, Dynamodb, Data Modeling, Redshift, Sql, Ec2, Quicksight, Tableau Desktop, Microsoft Excel, Oracle, Python, Etl, building ETL pipelines, AWS solutions, data visualization software
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