Shape How Amazon Serves Millions Through
Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
• You're a hands-on engineer who thrives on solving complex problems
• You have an insatiable curiosity and love learning new technologies
• You see opportunities where others see challenges
• You build trust through delivery and customer obsession
• You bring an entrepreneurial spirit to everything you do
What You'll Create
• Automated analytics systems that drive pricing and promotions decisions
• Sophisticated anomaly detection tools
• Data-driven insights that shape business strategy
• Solutions that simplify complex problems
• Tools that enhance customer experience
Why This Role
• Direct impact on Amazon's core business decisions
• Opportunity to innovate in a fast-paced environment
• Work with advanced analytics technologies
• Shape the future of retail pricing and promotions
• Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Drive Strategic Insights
• Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
• Develop advanced analytical metrics and models to uncover hidden business opportunities
• Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
• Harness the power of Large Language Models (LLMs) to generate business impacting insights
• Lead data-driven discussions with Product teams to accelerate growth
• Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
• Design and implement automated reporting systems that drive efficiency
• Create intuitive dashboards that transform complex data into clear, actionable insights
• Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
• Enhance back-end data sources to improve accuracy and streamline operations
• Implement best practices in data quality and modeling
• Architect scalable data solutions that grow with the business
Influence Through Communication
• Craft compelling narratives from data, influencing key stakeholders
• Develop effective metrics that shape the future of Amazon's pricing and promotions
• Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
• Champion a culture of innovation, constantly seeking ways to improve and automate
• Stay at the forefront of BI trends, bringing developing technologies to the team
• Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.- 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 allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
