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BIE II, Amazon Now Quick Commerce

Amazon

BIE II, Amazon Now Quick Commerce

full-timePosted: Aug 12, 2026Updated: Aug 27, 2026Bengaluru, Karnataka, India

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.

Locations

  • Bengaluru, Karnataka, India

Skills Required

  • data visualization using Tableauintermediate
  • data modelingintermediate
  • Statistical Analysis packages such as Rintermediate
  • SQL to pull data from a databaseintermediate
  • AWS solutions such as EC2intermediate
  • data miningintermediate

Required Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 3 years)
  • Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
  • Experience with data modeling, warehousing and building ETL pipelines (experience)
  • Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)

Preferred Qualifications

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)

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