Business Intelligence Engineer, P2 Science, Data, and Insights

Global technology and e-commerce company that leads in online retail, cloud computing, and artificial intelligence.
$89,600 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI

Description For Business Intelligence Engineer, P2 Science, Data, and Insights

Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Business Intelligence Engineer to shape Amazon's pricing and promotions strategy through data-driven insights. This role combines technical expertise with business impact, focusing on developing automated analytics, insights, and anomaly detection tools. The position is part of a team that leverages planet-scale data to build advanced machine learning models for product similarity, pricing optimization, and promotion recommendations.

The ideal candidate will be hands-on, analytical, and customer-focused, with strong business intelligence experience and an entrepreneurial mindset. You'll work with large-scale datasets, develop analytical reporting models, and present insights to senior leadership. The role involves using cutting-edge technologies including LLMs and requires expertise in data visualization, ETL processes, and statistical analysis.

Working at Amazon, you'll be part of a team that preserves customer trust by ensuring competitive and error-free pricing across billions of products. The position offers competitive compensation ($89,600-$185,000 based on location) plus equity and benefits, reflecting Amazon's commitment to total compensation. This is an excellent opportunity for a data professional looking to make a significant impact on Amazon's pricing strategy while working with advanced analytics and machine learning technologies.

Last updated 12 minutes ago

Responsibilities For Business Intelligence Engineer, P2 Science, Data, and Insights

  • Support business intelligence for your business and its customers
  • Develop, build, and deliver analytical reporting, models and business strategy
  • Conduct deep dive analyses of business problems
  • Leverage LLMs to generate Insights and drive growth discussions
  • Produce written recommendations and insights for key stakeholders
  • Continuously invent, simplify, and automate products, tools, services
  • Improving back-end data sources for increased accuracy and simplicity
  • Recognize and adopt best practices in reporting, analyses, data quality and modeling

Requirements For Business Intelligence Engineer, P2 Science, Data, and Insights

Python
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience working as a BIE in a technology company
  • 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 developing and presenting recommendations of new metrics
  • Experience using SQL and Python to process data for modeling
  • Bachelors Degree

Benefits For Business Intelligence Engineer, P2 Science, Data, and Insights

Medical Insurance
401k
  • Full range of medical benefits
  • Financial benefits
  • Total compensation package including equity
  • Sign-on payments

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