Amazon

Business Intelligence Engineer

Posted On

March 19, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

April 8, 2025

Job Description

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

We are seeking someone who thrives on ambiguity, harnessing their problem-solving skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, will be instrumental in navigating the complex landscape of our initiatives for Specialty Reading charter within Amazon Books.

A successful candidate will possess:
Strong analytical and problem-solving skills, leveraging data and metrics to inform strategic decisions.
Impeccable attention to detail and a clear and compelling communication skills, capable of articulating data insights to diverse stakeholders.

Key job responsibilities
Deliver on all analytics requirements across business areas.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, data pipelines etc. to drive key business decisions.
Ensure data accuracy by validating data for new and existing tools.

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.

A day in the life
A day in the life of Business Intelligence Engineer will include working closely with Product Managers and Software Developers. Working on building dashboards, performing root cause analysis and sharing actionable insights with the stakeholders to enable data-informed decision making.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with scripting language (e.g., Python, Java, or R)

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