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Business Intelligence Engineer, Amazon

Amazon Selection and Catalog Systems builds systems that host and run the comprehensive e-commerce product catalog, powering online shopping worldwide.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Enterprise SaaS · E-Commerce

Description For Business Intelligence Engineer, Amazon

Amazon Selection and Catalog Systems (ASCS) is seeking a Business Intelligence Engineer to join their Catalog Support Programs team. This role combines technical expertise with business acumen to transform catalog data into actionable insights. The position involves working with petabytes of data to identify business trends and enhance customer experience.

The role sits within a new centralized Business Intelligence team focused on building self-service analytical products for ASCS. You'll be responsible for developing scalable solutions, implementing KPIs into dashboards, and presenting insights to stakeholders. The work involves close collaboration with cross-functional teams including Product Managers, Data Scientists, and Software Developers.

Key responsibilities include building and maintaining ETL processes, creating data visualization dashboards, and performing root cause analysis. You'll work with complex datasets to drive data-informed decision making across the organization. The role requires expertise in SQL, data analysis tools, and statistical methods.

The ideal candidate will have 4+ years of experience analyzing data, strong programming skills in Python/Java, and expertise with business intelligence tools. You should be comfortable working with large-scale datasets and have excellent communication skills to present findings to both technical and non-technical audiences.

This position offers the opportunity to work on critical projects that directly impact Amazon's catalog ecosystem. You'll be part of a team establishing standardized metrics and building data pipelines that enable real-time decision making. The role combines technical depth with business impact, requiring both analytical skills and strategic thinking.

Working at Amazon, you'll benefit from:

  • The chance to work with cutting-edge technologies and massive datasets
  • Opportunity to impact millions of customers worldwide
  • Collaboration with talented engineers and data scientists
  • Career growth in a fast-paced, innovative environment
  • Exposure to complex business problems and strategic initiatives

The role is based in Bangalore, India, and requires in-person work. Join us in transforming how Amazon uses data to enhance the customer experience and drive business growth.

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Responsibilities For Business Intelligence Engineer, Amazon

  • Work closely with BIEs, Data Engineers, and Scientists to create scalable solutions
  • Create program goals and metrics, track progress, and manage obstacles
  • Identify opportunities for improvement or automation in data processes
  • Build and manage weekly, monthly, and quarterly business review metrics
  • Build data reports and dashboards using SQL, Excel, and other tools
  • Provide solutions that drive team's business decisions
  • Improve code quality and optimize BI processes
  • Lead reporting and analytics initiatives

Requirements For Business Intelligence Engineer, Amazon

Python
Java
  • 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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 and scripting experience (Python) to process data for modeling
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field
  • Experience with scripting languages and big data technologies
  • Strong verbal and written communication skills

Benefits For Business Intelligence Engineer, Amazon

Medical Insurance
Dental Insurance
Vision Insurance
  • Health insurance coverage
  • Dental coverage
  • Vision coverage

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