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Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Oct 13, 2026. Amazon scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

Amazon is looking for a Business Intelligence Engineer to join the Production Planning Team. Are you passionate about big data and analytics? Does working in one of the world’s largest data environment excite you? Do you want to be a critical part of a high-growth business that is fundamentally changing an industry? Rapidly increasing data volume and complexity makes this a constant challenge and therefore an exciting place to work in!

The ideal candidate will not only raise the bar on retrieving and analyzing data but is a person who wants to be an active participant with a strong curiosity to understand the business end-to-end, proactively dive into issues as they arise, and has a track record of using data to influence decision makers. Moreover, a successful candidate will possess superb business judgment, is highly detail oriented, and is comfortable dealing with multiple priorities in a fast paced environment. Business Intelligence Engineers also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics.

Key job responsibilities

Responsibilities include:

· Simplify and automate reporting, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.

· Improve back-end data sources for increased accuracy and simplicity.

· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

· Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.

· Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.

· Support business with time-critical tactical data analyses.

A day in the life

Engaging with Product Managers, Scientists, Engineers, and Data Engineers on developing BI/analytics solutions for improving and automating the processes of Production Planning Team

Developing and improving the tools and reports for the business

Migrating existing visualization tools and dashboards to AWS ecosystem, test, deploy and train the users.

Identifying the opportunities to improve existing processes, providing more robust solutions for both business and tech (Business Intelligence and Data Engineers)

About the team

Our team includes BI and Data engineers, program and product managers who work together to define and implement projects for production planning team and their stakeholders.

Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience

- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience

- Experience with data visualization using Tableau, Quicksight, or similar tools

- Experience with data modeling, warehousing and building ETL pipelines

- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse

- Experience using Python scripting to process data for modeling

Preferred qualifications

- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.

- 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

- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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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