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 pricing and promotions through data-driven insights. This role combines technical expertise with business impact, focusing on developing automated analytics tools and anomaly detection systems to optimize pricing decisions. The position requires strong analytical abilities, customer focus, and proven experience in business intelligence.

The role sits within the Pricing & Promotions Science organization, which leverages massive-scale data to build advanced machine learning models for product similarity, price optimization, and promotion recommendations. The team works with billions of Amazon and competitor products, ensuring competitive pricing while maintaining customer trust.

As a Business Intelligence Engineer, you'll be responsible for developing analytical reporting systems, conducting deep-dive analyses, and presenting insights to senior leadership. The role requires expertise in data visualization, ETL pipeline development, and statistical analysis using tools like SQL, Python, and various BI platforms.

The position offers competitive compensation ranging from $89,600 to $185,000 based on location and experience, plus additional benefits including medical coverage and financial benefits. This is an excellent opportunity for data professionals who want to impact Amazon's global pricing strategy while working with cutting-edge technologies and massive datasets.

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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
  • 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

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