BIE II, Amazon Now Quick Commerce

Amazon · Retail & E-commerce

Bengaluru, Karnataka, India
On-site
Posted today
Data & AI
full-time

About the job

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

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 country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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