ASSPL
e-commerce
BusinessIntelEngineerII,AmazonNow[Tez]
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intel Engineer II, Amazon Now [Tez] at ASSPL. Skills: Business Intelligence, Data Engineering, Data Analysis. Analyze customer needs. Shape solutions to elevate customer experience”
Industry & Context.
First-principle problem-solving
What They're Looking For.
Must Have
3+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Tableau experience, Quicksight experience, Data modeling experience, Data warehousing experience, ETL pipelines building experience, Statistical Analysis packages experience, R experience, SAS experience, Matlab experience, SQL proficiency, Python scripting experience
Nice to Have
AWS solutions experience, EC2 experience, DynamoDB experience, S3 experience, Redshift experience, Data mining experience, ETL experience, Business environment database experience, Large-scale datasets experience, Complex datasets experience
What You'll Do.
Analyze customer needs
Shape solutions to elevate customer experience
Navigate analytics landscape
Drive impactful outcomes
Solve problems using first principles
Full Job Description
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. 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 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the co
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